Excel Power View is a powerful data visualization tool included in the Microsoft Office suite. It allows you to easily create interactive and visually appealing reports and dashboards that can be shared with others.
Audience
Power View is a powerful data visualization tool that is included in Microsoft Excel. It allows users to quickly and easily create interactive charts and graphs, helping them to gain insights from their data more effectively. This tutorial will provide an overview of Power View’s features and how to use them. It will cover topics such as creating a Power View report, adding data to the report, customizing the view, and exporting the report. It will also provide tips and tricks to help you get the most out of Power View.
Prerequisites
In order to get the most out of this Excel Power View tutorial, it is important to have a good understanding of Excel and its features. Additionally, it is beneficial to have access to a computer with Microsoft Excel installed. It is also recommended to view the different Power View tutorials available online in order to get a better understanding of the software and its capabilities. Finally, it is helpful to have a basic understanding of data visualization and charting concepts in order to create effective and impactful visualizations.
Excel Power View – Overview
Excel Power View is a powerful data visualization tool that is part of Microsoft Excel. It enables users to easily create visually appealing and interactive reports and dashboards. Power View provides an intuitive and interactive way to explore data, enabling users to quickly identify trends and patterns in their data. It also provides an easy way to share data and collaborate with others. Power View can be used to create a variety of charts and graphs, including column charts, bar charts, pie charts, line charts, scatter plots, and more. It also provides a number of tools for filtering and sorting data, making it easier to analyze the data. With Excel Power View, users can quickly gain insights from their data and make better decisions.
Power View Visualizations
Power View is a data visualization tool that enables users to quickly and easily create interactive visualizations and reports from data. It is part of Microsoft’s Power BI suite and is designed to help users quickly understand complex data sets and uncover insights. Power View offers a variety of visualizations, from bar and line charts to maps and tables. Visualizations can also be combined to create more complex reports. Additionally, Power View offers interactive features such as drill-down, filtering, and sorting to help users explore and analyze their data in new ways.
Advanced Features in Power View
Some of the advanced features in Power View include:
1. Visualizations: Power View provides a variety of visualizations, such as maps, charts, tables, and graphs, to help you explore and analyze your data more effectively.
2. Filtering and Slicing: Power View allows you to filter and slice your data, so you can focus on the information you need.
3. Data Exploration: Power View lets you explore your data by drilling down, expanding, and pivoting.
4. Interactivity: Power View’s interactive features, such as drill-downs, tooltips, and animations, make exploring your data more engaging and interesting.
5. Customization: Power View allows you to customize the look and feel of your visualizations with a variety of options, including color themes and layout options.
6. Data Connectivity: Power View can connect to a variety of data sources, including Excel, SQL Server, and SharePoint.
Power View and Data Model
Power View is a Microsoft Excel add-in that enables users to create interactive data visualizations. It includes a canvas to design visualizations, a data model to access data, and an interactive viewer to view visualizations. The data model allows users to connect to data stored in various sources, including Excel, PowerPivot, SharePoint, SQL Server, and Azure.
Power View can be used to create visualizations such as maps, charts, tables, and graphs. It also enables users to create storyboards, which allow them to combine multiple visualizations into a single story.
The data model in Power View enables users to build relationships between different sources of data. This allows users to combine data from different sources and create a single data model. By creating relationships between data sources, users can identify patterns, trends, correlations, and other insights. The data model also allows users to filter and slice data, giving users the ability to further explore data and gain deeper insights into their data.
Hierarchies in Power View
Power View includes a hierarchy feature, which allows users to group related data within a Power View report. This feature allows users to organize data into a hierarchical tree structure and drill down into the data to gain deeper insights. Hierarchies are particularly useful for analyzing data with multiple levels of aggregation, such as a product hierarchy or an organizational structure. They can also be used to compare data across different levels of detail and to quickly identify trends. Hierarchies can be created using fields from the data set or using custom hierarchies created by the user.
Key Performance Indicators (KPIs) in Power View
1. Number of Customers: This KPI tracks the total number of customers who have interacted with your business in a given period of time.
2. Customer Retention Rate: This KPI tracks how many of your customers return to purchase additional products or services.
3. Conversion Rate: This KPI tracks the percentage of visitors who take a desired action (e.g. make a purchase) after visiting your website.
4. Average Order Value: This KPI tracks the average amount of money spent per transaction.
5. Customer Lifetime Value: This KPI tracks the total amount of money customers have spent on your products or services, over their entire life with your company.
6. Revenue Per Visitor: This KPI tracks the amount of money each visitor to your website spends.
7. Cost Per Acquisition: This KPI tracks the cost associated with acquiring each new customer.
8. Customer Satisfaction: This KPI tracks how customers feel about their experience with your business.
Formatting a Power View Report
1. Select the report you would like to format.
2. Click the ribbon tab “Design” at the top of the page.
3. Select the “Page Layout” option.
4. Choose the page size and orientation you would like to use.
5. Select the “Backdrop” tab to change the background of your report.
6. Use the “Chart Styles” section to customize the color and design of your charts.
7. Use the “Themes” tab to select a theme for your report.
8. Click “Save” to save your changes.
Excel Power View – Creation
Excel Power View is a data visualization tool that can be used to create interactive visualizations from data stored in an Excel spreadsheet. It allows users to quickly and easily create stunning visuals, and to explore data in new and interesting ways. With Power View, users can create a variety of visualization types, including maps, bar and line charts, and scatter plots. They can also apply filters and slicers to their data, and use powerful features such as drilldowns and sparklines to gain insights from the data. Power View also provides the ability to create Power Pivot tables, which allow users to easily combine data from multiple sources and perform powerful data analysis.
Enabling Power View Add-in
Power View is an Excel 2013 add-in. To enable Power View, open Excel and click ‘File’ in the top-left corner of the window. Select ‘Options’ from the left-hand menu. In the ‘Excel Options’ window, select ‘Add-ins’. From the ‘Manage’ drop-down menu, select ‘COM Add-ins’ and then click ‘Go’. Check the box beside ‘Microsoft Office Power View’ and then click ‘OK’. Power View will now be enabled in Excel.
Creating a Power View Sheet
1. Open Microsoft Excel and select the Power View tab.
2. Select the “Create Power View Sheet” button at the bottom of the ribbon.
3. Select the type of chart or graph you would like to use.
4. Select the data source you would like to use. This could be an Excel sheet, an external data source, or a Power Pivot data model.
5. Select the fields you would like to include in the chart or graph.
6. Select the “Create” button.
7. Your Power View sheet will now be created and you can start to interact with the data.
Creating a Power View Report
1. Open Microsoft Excel and click the Power View tab.
2. Create a data connection to the data source that you want to use for your report.
3. Select the type of chart you want to use for your report.
4. Drag the fields from your data source into the Power View window.
5. Adjust the chart settings to customize your report.
6. Select the layout and style of the report.
7. Add any other visuals or features to the report.
8. Publish or save your report.
Excel Power View – Sheet
Excel Power View is a powerful data visualization and analysis tool that is built into Microsoft Excel. It allows users to quickly and easily create interactive charts, graphs, maps, and other visual representations from their data. By leveraging the features in Power View, users can quickly spot trends, outliers, and patterns in their data, helping them make better decisions. Power View also provides the ability to quickly switch between different views, allowing users to easily compare and analyze their data.
Power View Sheet Layout
A Power View sheet layout contains all the elements used to create a visual display of data. This includes the visualizations, the data sources, and the formatting applied to the visualizations. It also includes any additional features such as filters, slicers, and bookmarks.
Power View Area
Power View is a powerful data visualization tool used in Microsoft Excel. It allows users to quickly and easily create interactive reports and dashboards from their data. Power View provides a wide range of powerful features, such as drag and drop chart creation, interactive data exploration, and visual analysis. It also offers powerful visual analytics capabilities, such as filtering and sorting data, as well as a variety of advanced chart types. With Power View, users can quickly create interactive reports and dashboards that help them make better decisions.
Power View Visualizations
Power View Visualizations are interactive data visualizations that are created in Microsoft Power BI. They allow users to create charts, graphs, maps, and other types of visualizations that can be used to explore and analyze data. Power View Visualizations are designed to be interactive and allow users to drill down into the data to gain deeper insights. They can also be used to create compelling stories and present complex data in an easy-to-understand format.
Pop out and Pop in in excel power view
In Excel Power View, “Pop Out” and “Pop In” are two features that allow users to view a Power View report outside of the Excel workbook. When a user “Pops Out” the report, it will open in a separate browser window. This allows the user to view the report in a larger format and also interact with the report without having to scroll through the entire Excel workbook. Once the user has finished viewing the report, they can “Pop In” the report and it will return to the Excel workbook.
Power View Tabs on the Ribbon
Power View Tabs on the Ribbon include Design, Arrange, Format, and Page. The Design tab includes options for changing the chart type, adding fields, and formatting the chart. The Arrange tab includes options for arranging the chart elements in the report, such as adding additional charts or tables. The Format tab includes options for changing the look and feel of the chart, such as changing colors, fonts, and sizing. The Page tab includes options for adding titles, headers, footers, and page breaks.
Excel Power View – Visualizations
Excel Power View is a powerful data visualization tool that can be used to create interactive data visualizations from Excel data. It allows users to explore their data in an interactive and visual way, allowing them to gain insights that would otherwise be difficult to obtain. With Power View, users can create charts, maps, scatter plots, treemaps, and other data visualizations to help them make decisions quickly. Power View also has a range of options to customize the look and feel of the visualizations, allowing users to make their visualizations as unique and powerful as they need them to be.
Excel Power View Table Visualization
Excel Power View Table Visualization is a Microsoft Excel feature that allows you to create interactive and dynamic visualizations of your data. It allows you to quickly and easily create tables, charts, and graphs that can be used to analyze and present data. Power View also includes a wide range of features that allow you to customize your visualizations, including the ability to filter, sort, and group data. This feature makes it easy to quickly explore data, spot trends, and make decisions.
Switch Visualization
Excel Power View is a visual data exploration, analysis, and presentation tool from Microsoft. It allows users to create interactive data visualizations and reports from within Microsoft Excel. It is Microsoft’s business intelligence platform for analyzing and presenting data. It allows users to quickly create interactive reports, dashboards, and data visualizations from multiple sources. It includes a variety of visuals, such as pie charts, line graphs, scatter plots, and maps, as well as interactive features, such as slicers and filters. Users can also easily combine multiple data sources from different sources, such as Excel, SQL Server, Power BI, and SharePoint, into one report.
Matrix Visualization
Microsoft Excel Power View is a visual analytics tool that enables users to quickly and easily analyze data and create compelling visualizations such as maps, tables, heat maps, and timelines. It enables users to explore data in an interactive way, providing insights that they may not have been able to detect with traditional Excel charts and tables. Power View also makes it easy to filter data and combine data from multiple sources into a single visual. Power View also allows for interactive drill-down, which makes it possible to quickly view and explore data from different perspectives.
Card Visualization
Excel Power View is a powerful data visualization tool that helps to quickly and easily create interactive visualizations and reports from a variety of data sources. It can be used to create a wide range of visualizations including charts, tables, maps, and more. It also features a drag-and-drop interface for quickly creating visualizations, as well as the ability to add custom visuals and data labels. Power View also allows users to easily customize the look and feel of their visualizations, enabling them to create unique and meaningful visualizations.
Excel Power View – Table Visualization
Excel Power View table visualization is a powerful tool for anyone looking to analyze and visualize large amounts of data. Excel Power View table visualization allows users to quickly and easily create interactive tables that can be used to explore and analyze data. It also provides users with the ability to create charts and graphs to visualize their data. Excel Power View table visualization can be used to quickly identify trends and patterns in data, enabling users to make informed decisions and gain insights into their data.
create a Table in Power View
1. In Power View, select the “Insert” tab.
2. Select the “Table” option from the drop-down menu.
3. Select the fields you would like to include in your table from the “Fields” pane on the right-hand side of the screen.
4. Click “OK” to create the table.
Understanding Table Visualization
Table visualization is a type of data visualization that displays data in rows and columns. It is used to present information in an organized and easy-to-understand way, allowing for effective comparison of variables and trends. Tables can be used to display numerical data, text, images, or any combination of the three. Table visualizations are often used to analyze large datasets and can be used to identify patterns and trends in data.
Adding a Count Field to Table
To add a count field to a table, the following steps can be taken:
1. Open the table in the database program.
2. Click on the “Field” tab.
3. Select the “Add” button to create a new field.
4. Name the field “Count” and select the “Number” data type.
5. Set the field size to “Integer” and the field values to “Required”.
6. Click “OK” to save the field.
7. Create a query to count the number of records in the table.
8. Select the “Count” function and select the “Count” field.
9. Click “Run” to execute the query and populate the “Count” field with the total number of records.
Excel Power View – Matrix Visualization
Excel Power View Matrix Visualization is a powerful data visualization tool that allows users to easily create interactive matrix visuals. This tool enables users to quickly and easily explore and analyze data in a matrix format. It allows users to view complex relationships between multiple variables and quickly identify patterns and trends. Users can customize the matrix visualization by formatting the rows and columns, adding labels, and changing the colors, as well as selecting the data points to be included in the matrix. The visual elements can also be customized, such as adding a title, gridlines, and a legend. This tool can be used for a variety of applications, such as data exploration, data analysis, and data presentation.
Switching to Matrix Visualization
Matrix visualization is a type of data visualization that uses a matrix or grid to represent data. It is a powerful tool for representing data in a concise and visual way. Matrix visualization can be used to quickly identify patterns and relationships between data points. It also allows for easy comparison of data points across multiple dimensions. Matrix visualizations can be used to compare different variables within a dataset or to compare different datasets. It is an effective way to quickly identify correlations and trends in data.
Advantages of Matrix Visualization
1. Matrix visualization enables the viewer to compare and contrast different elements within a single graph. This is especially useful when looking at large datasets or when there are a large number of variables to consider.
2. Matrix visualization also provides a more comprehensive view of the data. It can provide a quick overview of the data, allowing the viewer to see patterns or trends.
3. Matrix visualization can also be used to identify relationships between variables and to spot outliers. This can help to uncover hidden insights or interesting correlations.
4. Matrix visualization is also useful for identifying clusters or groups within a dataset. This can be especially helpful when exploring complex datasets.
5. Matrix visualization can be used to visually represent data in a more intuitive way, making it easier for people to understand the data.
Combination of Table and Matrix Visualizations
Table and matrix visualizations can be combined to create a powerful visualization that can provide a comprehensive overview of data. For example, a combination of table and matrix visualizations could be used to compare the sales of different products across multiple regions. The table could provide the overall sales figures for each product and region, while the matrix could provide a detailed breakdown of the sales figures for each product and region. This would allow viewers to quickly understand the overall sales performance of each product and region, as well as identify any trends or patterns that exist.
Filtering Matrix in Power View
Power View can be used to filter a matrix in several ways. The user can use the filter pane to create a filter for the matrix to display only certain data points. This could include filtering by column, by row, or by value. The user can also use the slicer feature to filter the matrix by a single column or row. Additionally, the user can use the interactive sorting feature to sort the matrix by a single column or row. Finally, the user can use the grouping feature to group and summarize data in the matrix.
Excel Power View – Card Visualization
Excel Power View Card Visualization is a tool that allows users to quickly visualize their data in the form of interactive cards. It allows users to easily explore and compare their data, as well as quickly identify trends and outliers. The cards are highly customizable and can be modified to fit the user’s needs. With Power View, users can easily create interactive dashboards and reports, enabling them to gain valuable insights from their data.
Switching to Card Visualization
Card visualization is a great way to display data in a visually appealing way. By using cards, you can create a dashboard that is easy to read and understand. Cards are also a great way to organize and present data in a way that is more visually appealing than traditional tables or charts. Card visualizations can also be used to quickly compare different items and highlight key points in the data.
Card Style Excel Power View
Card Style Excel Power View is a feature in Microsoft Excel that allows users to quickly and easily create interactive data visualizations. It allows users to present data in visually appealing, easy-to-understand charts and graphs. The feature uses a card-style interface to let users select, sort, and filter data to create powerful visuals. Card Style Excel Power View also provides options for customizing visuals, such as adding titles and captions, changing colors, and adding a background image. This feature is available in Microsoft Office 365 and can be accessed from the Insert tab in Excel.
Excel Power View – Chart Visualizations
Excel Power View is a feature of the Microsoft Excel spreadsheet program which allows users to create and view interactive data visualizations. The feature is integrated into the spreadsheet, so users can create and view the data visualizations without leaving the program. Power View enables users to create visualizations such as charts, maps, tables and even 3D graphics. With the help of Power View, users can quickly and easily explore their data and identify patterns or trends. Power View also makes it easy to quickly share the visualizations with colleagues. The feature is available in Excel 2016 and later versions.
Types of Chart Visualizations
1. Line Chart: This type of chart is used to visualize data over a period of time. It shows changes in data over time in a line format.
2. Bar Chart: A bar chart is used to compare one or more values across categories. It displays the values of each category as a separate bar, making it easy to see how values differ between them.
3. Pie Chart: A pie chart is used to show the relative sizes of different categories in a data set. It uses a circular shape to represent the data, with each “slice” of the pie representing a different category.
4. Histogram: A histogram is used to show the distribution of a data set. It uses rectangles to show the frequency of each value in the data set, with the height of each rectangle representing how often that value appears.
5. Scatter Plot: A scatter plot is used to show the relationship between two variables. Each point on the plot represents an individual data point, and the position of the point indicates the relationship between the two variables.
6. Bubble Chart: A bubble chart is used to show the relationship between three variables. Each “bubble” on the chart represents an individual data point, and the size and position of each bubble indicates the relationship between the three variables.
Line, Bar and Column Charts
Line charts are used to show trends over time. They are most effective when used to compare multiple data sets.
Bar charts are used to compare different values across different categories. They are used to compare changes in data over time or to compare different categories of data.
Column charts are used to compare values across different categories. They are used to compare changes in data over time or to compare different categories of data.
Scatter and Bubble Charts
Scatter and bubble charts are graphical representations of data, using dots or other symbols to indicate the magnitude or frequency of the data points. A scatter chart uses a series of dots to represent two variables that are being compared, or a set of data points. A bubble chart uses circles to represent the same information, with the size of the circles indicating the magnitude of the values. These types of charts are useful for visualizing relationships between variables, trends, and outliers. They are commonly used in business, finance, and science to illustrate patterns and trends in data.
Pie Charts
Pie charts are a type of graph which uses “pie slices” to represent data or categories in a visual way. The area of each slice is proportional to the quantity it represents. Pie charts are used to compare different categories or components of a whole. They are most effective when used to compare relatively small numbers of items or categories, since too many slices can make it difficult to interpret.
Interactive Nature of Chart Visualizations
Chart visualizations provide an interactive way to explore data and gain insights into trends and patterns. Through the use of interactive elements such as hover-over tooltips, zooming, and filtering, users can quickly explore large datasets to quickly identify patterns and trends. Additionally, the ability to link charts to external data sources, such as databases, allows users to dynamically update visualizations with new data. This interactive nature allows users to dive deeper into the data and gain valuable insights in an efficient and effective manner.
Excel Power View – Line Chart Visualization
Excel Power View is a modern data visualization tool used to create interactive and engaging visualizations. The Line Chart visualization is one of the most commonly used visualizations in Power View. It is used to compare trends over time or across different categories. The Line Chart allows users to quickly identify relationships, patterns, and trends in the data, and it is customizable with various colors and settings. The Line Chart can be used to compare values across different categories, or to track a single value over time. It can also be used to show the change in value over a period of time. The type of data used in a Line Chart can be numerical, text, or date/time.
Switching to Line Chart Visualization
A line chart is a graphical representation of data points connected by straight lines, showing trends in data over a period of time. Line charts are commonly used to showcase trends in data over time, such as changes in stock prices or population growth. Line charts are a useful visual tool for understanding how data changes over time and can help identify patterns and relationships.
Exploring Data with Line Chart Visualization
Line chart visualizations are a great way to explore data and identify trends. They are especially useful for plotting time-series data, as they can show how a metric changes over time. Line charts can also be used to compare different metrics over the same timeline. For example, a line chart could be used to compare the growth of two different companies side-by-side. Line charts are also great for tracking changes in the stock market, as they can show both the highs and lows of a stock price over time.
Excel Power View – Bar Chart Visualization
Excel Power View – Bar Chart Visualization is a feature of Microsoft Excel that allows users to create and present data in the form of an interactive bar chart. This feature allows users to create visualizations of data in a more comprehensive and efficient manner. With this feature, users can easily and quickly identify trends, compare values, and compare different categories of data. The bar chart visualization can be used to represent both qualitative and quantitative data. It also allows users to explore various data sets, analyze them, and gain insights into their data.
Types of Bar Chart Visualization
1. Clustered Bar Chart: A clustered bar chart is used to compare different groups or categories of data. It can be used to compare multiple variables by grouping them together on the same chart.
2. Stacked Bar Chart: A stacked bar chart is used to compare the total of different categories or groups. It shows how much of each category is represented in the total value.
3. 100% Stacked Bar Chart: A 100% stacked bar chart shows the percentage of each category or group represented in the total value.
4. Grouped Bar Chart: A grouped bar chart is used to compare multiple groups of data, with each group represented by a different color.
5. Dual-Axis Bar Chart: A dual-axis bar chart is used to compare two different sets of data by plotting them on two different axes and connecting them with a single line.
6. Waterfall Chart: A waterfall chart is used to represent the cumulative effect of a series of values over time. It’s commonly used to represent financial data such as cash flow.
Switching to Bar Chart Visualization
A bar chart is a type of chart that displays data using rectangular bars, with lengths proportional to the values that they represent. The bar chart is a powerful visualization tool and can be used to communicate a variety of information, from simple trends to complex relationships between variables. Bar charts are an effective way to compare values across categories, and can be used to identify patterns and relationships between data points.
Exploring Data with Bar Chart Visualization
Bar chart visualizations are a great way to explore data and identify patterns. By creating a bar chart, you can easily compare the data points in a given dataset and quickly identify relationships between them. For example, if you have data on the number of people who have visited a website in a given month, you can create a bar chart that shows the total number of visitors for each month. This will allow you to quickly identify any trends or changes in the data over time. Additionally, bar charts can be used to compare different data points in a dataset, such as the number of visitors from different countries or the total number of page views for each page on a website. Bar chart visualizations are also useful for highlighting outliers, which can be helpful for identifying areas where further analysis may be needed.
Combination of Bar Chart and Table Visualizations
A combination of a bar chart and table visualization can be used to compare the values of multiple variables across different categories. The bar chart can be used to illustrate the overall trends between the categories, while the table can provide more specific data points for each variable. For example, a bar chart and table can be used to compare the average income levels of different countries. The bar chart could show the overall trend between countries, while the table could provide the specific income levels for each country.
100% Stacked Bar Chart
A 100% stacked bar chart is a graphical representation of data that uses a combination of bars and percentages to display the relative contribution of each value to a total. The bars are stacked one on top of the other to indicate the relative contribution of each category to the total. The 100% stacked bar chart is a variation of the stacked bar chart, where the total of all the categories always equals 100%. This type of chart is helpful in comparing the proportions of the categories to the total.
Clustered Bar Chart
A clustered bar chart is a type of chart that is used to compare data in different categories and to show the proportions within each category. It is similar to a stacked bar chart, but instead of showing the data as one bar, it shows them as separate bars in a single column or row. The bars are grouped together in clusters to represent different categories of data. Clustered bar charts can be used to compare different categories of data, such as sales numbers for different products, or to compare the same category of data across different time periods.
Column Chart Visualization
This chart visualizes the number of hours worked in a week by a person. The x-axis shows the number of hours from 0 to 80, and the y-axis shows the frequency of how often a person works that amount of hours in a week. The bar chart shows that most people work between 40 and 50 hours per week, with the highest frequency at 40 hours.
Types of Column Chart Visualization
1. Clustered Column Chart: A clustered column chart is a chart that displays the values of multiple datasets in vertical columns. The columns are grouped together so that they can be compared.
2. Stacked Column Chart: A stacked column chart is a chart that displays multiple datasets in vertically stacked columns. It can be used to compare the total values of different data sets.
3. 100% Stacked Column Chart: A 100% stacked column chart is a chart that displays multiple datasets in stacked columns with the total for each series represented as 100%. It is used to compare the relative contribution of each data series to the total.
4. 3D Column Chart: A 3D column chart is a chart that displays multiple datasets in 3D columns. It can be used to compare the values of multiple datasets in three dimensions.
5. Waterfall Chart: A waterfall chart is a chart that displays a cumulative total of values over a period of time. It can be used to visualize how changes in one or more values affect the total.
6. Histogram Chart: A histogram chart is a chart that displays a distribution of data. It can be used to compare the frequency of different values in a dataset.
Switching to Column Chart Visualization
A column chart is a graphical representation of data that shows the comparison of different values over a period of time. It is useful for comparing the values of multiple categories and can be used to highlight trends and patterns. The columns can be sorted in either ascending or descending order, depending on the data being represented. Column charts are a great way to visualize data and can provide a quick overview of a situation.
Exploring Data with Column Chart Visualization
Column chart visualizations are an effective way to explore data and gain insights into trends over time. Column chart visualizations can be used to compare different sets of data, display the distribution of data, and identify outliers. They are particularly useful for displaying data over time, such as sales figures, stock prices, and other metrics. Column charts can also be used to compare different categories of data, such as demographics, income levels, and consumer preferences. Column charts are a great way to gain an understanding of the underlying patterns in data and identify opportunities for further analysis.
Sorting in Column Chart
Column charts can be sorted in ascending or descending order. To sort a column chart, select the data points and then click the ‘Sort’ button in the ‘Data’ ribbon. Select either ascending or descending order and then click ‘OK’. This will sort the data points in the selected order.
Combination of Column Chart and Table Visualizations
A column chart and table visualization can be used to compare different data sets. The column chart can be used to show the numerical differences between the datasets and the table can be used to provide additional information regarding the data, such as the values of individual items. Combining the two visualizations can provide a comprehensive view of the data, allowing users to quickly understand the differences between the datasets.
100% Stacked Column Chart
A 100% stacked column chart is a type of graph that displays the relative proportions of each category of data in a series of vertical bars. The individual bars are split into sections, each one representing a different category of data. The sections are stacked so that the total height of each bar is equal to 100%. This type of chart is useful for comparing the relative proportions of different categories within a series of data.
Clustered Column Chart
A clustered column chart is a chart type that is used to compare values across different categories. It is similar to a bar chart, but multiple columns are used to represent each category’s data. The clustered column chart is commonly used to compare multiple sets of data for different categories. For example, it can be used to compare the sales figures of different products in a particular period of time.
Combining Bar Chart Visualization
Bar chart visualizations can be combined to compare two different sets of data in a single graph. For example, two different bar charts can be combined to compare the sales of two different products over a period of time. The horizontal bars of each chart can be aligned to compare the sales of the two products side-by-side. The bars can be further color-coded to easily distinguish between the two data sets. Additionally, the combined bar chart can include a legend to help the viewer quickly identify what each color represents.
Scatter and Bubble Chart Visualization
Scatter and Bubble charts are two of the most popular ways to visualize data. A Scatter chart is used to show the relationship between two sets of values, while a Bubble chart is used to compare three or more data points. Scatter charts are typically used to display the correlation between two different variables, while Bubble charts are often used to show the relationship between three or more variables.
Scatter charts show the relationship between two variables on a coordinate plane. Each point on the chart is a data point that represents a combination of two values. The horizontal axis (x-axis) typically represents the independent variable, while the vertical axis (y-axis) usually represents the dependent variable. By plotting all of the data points on the chart, the viewer can easily see the correlation between the two variables.
Bubble charts are similar to Scatter charts in that they also show the relationship between two variables. However, instead of plotting points on a coordinate plane, Bubble charts use bubbles to represent each data point. The size of the bubbles typically corresponds to the third variable, allowing the viewer to compare the values of the three variables at once. Bubble charts can be used to show the relationship between three or more variables, making them a useful tool for visualizing complex data sets.
Switching to Scatter Chart Visualization
A scatter chart is a type of data visualization that uses data points to represent two or more variables in a graph. The chart can be used to identify relationships between the variables, compare distributions, and look for outliers. The data points are plotted on a two-dimensional graph, and the chart can be used to quickly spot trends and patterns in the data.
Adding Data Labels to Scatter Chart
Data labels can be added to a scatter chart by selecting the data points and clicking on the “Add Data Label” option in the Chart Tools section of the ribbon. This will display the x and y coordinates of each data point as a label on the chart. You can also customize the labels by formatting them, changing their font, color, size, etc.
Converting to Bubble Chart Visualization
A bubble chart visualization is a variation of a scatter plot in which the data points are represented by circles or bubbles. The size of each bubble is determined by a third variable and can be used to visually compare and contrast different data points. Bubble chart visualizations can be used to show relationships between three variables or to identify trends in data.
Exploring Data with Bubble Chart Visualization
A bubble chart is a type of chart that uses circles or bubbles to represent data points. It is a great way to visualize two or more dimensions of data in an easy to understand way. Bubble charts can be used to compare different categories of data and to show relationships between different variables. For example, a bubble chart could be used to compare the prices of different products, the size of different markets, or the performance of different teams. Bubble charts can also be used to visualize correlations between different variables, such as the relationship between a company’s stock price and its profits. Bubble charts are a great way to explore and visualize data, and they can be used in a variety of scenarios.’
Visualization with Colors
Colors can be used to help visualize data in Excel. For example, you can use color to highlight data points, draw attention to important numbers, or indicate progress or trends in your data. To add color to data in Excel, you can use conditional formatting, the fill or font color options, data bars, or color scales.
Filtering in Bubble Chart
Filtering in a bubble chart is done by selecting a particular data point or range of data points to be displayed in the chart. This is done by clicking and dragging the mouse over the chart area to select a range, or by selecting a single data point from the legend. This will allow the chart to be filtered to display only the data points that were selected. This can be used to focus on specific data points, or to remove unnecessary data points from the chart.
Combination of Bubble Chart and Table Visualizations
A combination of a bubble chart and table visualization can be used to compare the total sales of different products within a given period of time. For example, the bubble chart could be used to compare the overall sales of each product, while the table could be used to break down the sales data by product category, region, and other variables. This would provide a comprehensive overview of the sales performance of each product.
Visualization with Play Axis
Play Axis is a data visualization tool that can be used to create interactive visualizations and data stories. It is a web-based platform that allows users to easily create and share stunning visualizations. With Play Axis, users can create custom visualizations, explore data in different ways, and interact with their data in real time. The platform also enables users to create and share stories about their data, and to collaborate with others on the same project. Play Axis is an ideal tool for data-driven decision making, as it provides an easy way to explore and analyze data.
Excel Power View – Pie Chart Visualization
Excel Power View is an interactive data visualization tool that helps create sophisticated visualizations of your data in the form of pie charts. With this tool, you can create interactive and dynamic pie charts of your data in seconds. You can customize the colors, labels, and sizes of your pie chart. You can also add data points to the chart, as well as drill down into the data to get more detailed information. Power View also makes it easy to present your data in a visually appealing way, making it easier for your audience to understand.
Switching to Pie Chart Visualization
A pie chart can be used to visualize the relative proportions of the different types of plastic waste. The chart would show the percentage of each type of plastic waste in relation to the other types. For example, the chart could show that 40% of plastic waste is PET plastic, 20% is HDPE plastic, 15% is PP plastic, 10% is LDPE plastic, and 15% is other types of plastic.
Exploring Data with Simple Pie Chart Visualization
Pie charts are useful for illustrating how a whole can be divided into different parts. In this example, a simple pie chart is used to explore how a group of students spend their free time.
The pie chart shows that the majority of students spend their free time on leisure activities such as watching TV, playing video games, and socializing with friends. Around a quarter of students spend their free time doing homework or studying, while a smaller percentage spend their free time on sports or exercise. The smallest portion of students spend their free time on other activities such as religious activities or volunteering.
This pie chart allows us to quickly understand how the students are spending their free time and can be used to identify areas where more focus may be needed. For example, if the majority of students are spending most of their free time on leisure activities, it may be beneficial to introduce more opportunities for physical activity or academic enrichment activities.
Sophisticated Pie Chart Visualizations
Sophisticated pie chart visualizations can include 3D pie charts with shadow effects, exploded pie charts, donut charts, and combination charts that mix bar and pie charts. Pie charts can also be interactive and include animation, allowing users to explore data more deeply. Additionally, pie charts can include multiple series of data, allowing for complex comparisons between different data sets.
Excel Power View – Map Visualization
Excel Power View is a feature of the Microsoft Excel spreadsheet program that enables users to create stunning, interactive visualizations from their data. With Power View, users can create dynamic maps that can be used to explore geographic data, identify trends, and more. Power View maps can be used to display data in a variety of formats, including geographic points, lines, and polygons. Maps are also optimized for touch, allowing users to interact with their visualizations without a mouse. Additionally, users can customize their maps with styling options, such as colors, labels, and more.
Setting Data Category for Geographic Field
When setting data category for a geographic field, the user should select the “geography” option. This will allow the user to select the specific geographic field they want to use, such as country, state, county, city, postal code, etc. Additionally, the user should select the appropriate data type for the geographic field, such as a string, integer, or decimal. Finally, the user can set any other properties for the field, such as a label, description, or any other custom properties.
Switching to Map Visualization
Using a map visualization can help the user better understand the patterns of the data. Maps can provide a visual representation of the data, allowing the user to draw connections between different locations. This can provide a better understanding of the data and can help the user spot trends and patterns that may not be visible in other forms of visualization.
Zooming and Panning in MapView
Zooming and panning in MapView are essential features for allowing users to explore and interact with a map. Zooming is the process of increasing or decreasing the level of detail in a map. Panning is the process of moving the map in any direction. Both zooming and panning are accomplished by using the scroll wheel on the mouse, as well as pinch and spread gestures on touch screen devices. Additionally, many map viewers have dedicated buttons or controls for zooming and panning.
Pie Charts in Map Visualization
Pie charts can be used to display values in a map visualization. Pie charts can be used to show the relative proportions of different categories or values within a geographic area on a map. For example, a pie chart could be used to show the breakdown of different types of land use in a region or the distribution of population by age group or income level. Pie charts can be used to provide a visual representation of data, making it easier to understand and interpret the data.
Exploring Data with Pie Charts in Map Visualization
Pie charts are a powerful way to visualize data in map visualization. Pie charts can be used to display the distribution of values within a geographic area. For example, a pie chart can be used to display the proportion of people living in a certain area who are male, female, or of other genders. Pie charts can also be used to visualize the distribution of income levels, educational levels, and other demographic characteristics in a geographic area. By displaying these distributions, pie charts can help to identify and compare differences between various geographic areas. Pie charts can also be used to identify areas where certain characteristics are more or less common, allowing for more targeted interventions in those areas.
Highlighting a Pie Slice in Map Visualization
To highlight a pie slice in a map visualization, the user can use a combination of color, contrast and size to draw the viewer’s eye to the desired pie slice. For example, the user could make the desired slice a darker or brighter color than the other slices, or make it a different size from the other slices. Additionally, the user could use a pattern or line to draw attention to the pie slice, or add a text label to further emphasize the slice.
Excel Power View – Multiple Visualizations
Excel Power View is an interactive data visualization tool included in Microsoft Excel. With Power View, users can create powerful, interactive data visualizations from multiple sources. Power View can display data from multiple sources in the same visualization, making it possible to compare and contrast data from different sources. Power View can also create multiple visualizations from the same data, enabling users to view the data from different perspectives. Power View makes it easy to spot patterns and correlations in the data, and quickly identify areas that require further investigation.
Multiples Visualization with Line Charts
Line charts are a useful way of visually displaying data over a period of time or a given set of categories. They can be used to illustrate the change in a given metric over time, or compare multiple metrics across a set of categories. For example, a line chart can be used to compare the number of visitors to a website over the past year, or to show the progress of a company’s sales over the last quarter. They can also be used to compare multiple metrics, such as the number of visitors to a website, the number of sales, and the number of new customers, over a set of time periods.
Vertical Multiples
In Excel, vertical multiples refer to a group of cells that are located in the same column but in different rows. The cells can be used to enter data that have a common characteristic, such as the prices of goods. In a spreadsheet, vertical multiples are usually used to compare data across different rows, such as the prices of goods from different vendors.
Horizontal Multiples
To create horizontal multiples in Excel, first select the data you want to visualize. Next, go to the Insert tab and select the type of chart you want to use. For example, if you want to create a bar chart, select the Bar Chart option. Once you’ve chosen a chart type, the chart will appear on your worksheet. From there, you can customize the chart by changing the colors, font, or labels. You can also add data labels to the chart or add a trend line to show the trend of the data over time.
Multiples Visualization with Bar Charts
A bar chart can be used to visualize the results of a multiples comparison. A bar chart can make it easy to compare multiple values at once, as each bar shows the value of a particular multiple. For example, if a company wanted to compare the amount of sales between different products, a bar chart could be used to compare the sales for each product. The height of each bar would indicate the amount of sales for each product, allowing an easy comparison.
Multiples Visualization with Column Charts
A column chart is a good way to visualize the different multiples of a number. For example, if a user wanted to visualize the multiples of the number 8, they could use a column chart to show the multiples 8, 16, 24, 32, 40, and 48. The x-axis would represent the numbers, and the y-axis would represent the multiple value. Each column would represent the multiple of 8 in the same way. This would allow the user to easily see the multiples of 8, as well as the differences between each value.
Multiples Visualization with Pie Charts
A pie chart is a circular chart that is divided into segments to illustrate numerical proportions. Pie charts can be used to visualize data related to multiples, such as the percentage of a total that each multiple contributes. For example, a pie chart could be used to illustrate the proportion of a budget that is allocated to different categories such as housing, entertainment, and food. Pie charts can also be used to compare multiples, such as the proportion of a population that identifies with different religions or political parties. Pie charts are also a useful way to visualize the distribution of multiples, such as the amount of wealth held by different income groups.
Excel Power View – Tiles Visualization
Excel Power View Tiles Visualization is an interactive visualization feature that allows users to quickly and easily explore their data. This feature is accessible through the Power View tab in the Microsoft Excel ribbon. It enables users to transform their data into interactive tiles that can be arranged to make powerful visualizations. This feature allows users to quickly switch between different views of their data, such as bar charts, line graphs, and pie charts. Additionally, users can customize the tiles to better suit their needs. They can resize and recolor the tiles, as well as add additional data points or apply filtering. Excel Power View Tiles Visualization provides an easy way for users to explore their data and gain insights quickly.
Table Visualization with Tiles
Tile visualizations are a type of data visualization that uses tiles to represent different values. They are typically used to represent numerical or categorical data, such as sales figures or customer demographics. Each tile can represent different values, such as a percentage, a numerical value, or a category. The tiles can be arranged in various ways, such as in rows and columns, or in a grid pattern. Tile visualizations are a great way to quickly and easily convey a large amount of data in an easy to understand format.
Exploring Data with Table Tiles Visualization
Table Tiles Visualization is a type of data visualization that allows users to quickly and easily explore data. Table Tiles is a tool that makes it easy to quickly identify patterns, outliers, and correlations between different variables. Table Tiles allows users to visualize their data in a variety of ways, such as heatmaps, scatterplots, and line graphs. This type of visualization helps users to quickly identify relationships and trends in their data, which can help to inform decisions and insights. Table Tiles can also be used to explore and compare different datasets, allowing users to identify similarities and differences between different datasets. This type of visualization is particularly helpful for quickly exploring large datasets and identifying complex relationships.
Tile Navigation Strip – Tab Strip
The Tile Navigation Strip, also known as the Tab Strip, is an element of user interface design used to provide navigation within a mobile app or web page. It consists of a series of tiles or tabs, each of which links to a different page within the app or website. The Tab Strip is a popular choice for mobile apps due to its intuitive design and ease of use. It allows users to quickly switch between different pages within an app or website, making it an efficient way to navigate the content of a mobile app or website.
Tile Navigation Strip – Tile Flow
The Tile Flow navigation strip is a visually appealing way of presenting data and links to users. It is a horizontal strip of tiles that flow from left to right, displaying data or links in an organized and eye-catching way. It can be used to present a range of topics, from general information to website navigation. It is ideal for displaying a large number of topics in a small space, and can also be used to create a visually appealing user experience. With its easy to use and intuitive interface, it is a great way to provide users with quick access to the information they need.
Matrix Tiles Visualization
Matrix tiles visualization is an approach to visualizing data that uses small tiles to represent individual data points. Each tile is typically square in shape and can be colored to represent certain values or attributes. The tiles are arranged in a grid pattern, which allows the user to quickly and easily identify patterns or trends in the data. This type of visualization is particularly useful for displaying large amounts of data in a way that is easy to interpret. It can also be used to highlight outliers or areas of interest.
Card Tiles Visualization
Card tiles visualization is a type of data visualization that uses cards to represent individual pieces of data. The cards are arranged in a way that allows users to quickly identify patterns and trends in the data. Each card can contain different pieces of information about the data, such as labels, values, and colors. This type of visualization is often used to display large datasets in a way that is visually appealing and easy to understand. It is also commonly used for financial data, as well as for medical, scientific, or geographical data.
Stacked Bar Chart Tiles Visualization
A stacked bar chart tile visualization is a type of chart that is used to compare the relative sizes of different data points within a given category. It is usually used to show the relative proportions of different components within a whole. In this type of chart, each bar is made up of multiple sections that represent different data points. Each section is proportional to the relative size of the data point it represents. The sections are typically stacked on top of each other and the overall height of the bar is equal to the total of all the sections. This type of chart can be used to compare multiple categories, or to compare the same category across different time frames.
Map Tiles Visualization
Map tiles visualization is a type of map visualization that uses a series of tiles to present different kinds of geographic data. Each tile is a small square that contains a specific type of information, such as a map of a particular area, a satellite view of the same area, or information about the population of a particular area. Map tiles can be used to represent a variety of different types of data, from physical geography to population data. They are an effective way to visualize complex geographic information in an easy-to-understand way.
Combination of Power View Tiles Visualizations
A combination of Power View Tiles visualizations could be used to create an interactive dashboard. This dashboard could be used to quickly and easily visualize data in a way that provides actionable insights. The tiles could be used to display bar charts, pie charts, maps, scatter plots, and line charts. The dashboard could be used to track key performance indicators, such as sales, profits, customer loyalty, and employee satisfaction. It could also be used to analyze trends over time and identify patterns and correlations between different variables. It could be used to compare different areas or regions, or to filter and drill down into specific data points.
Exploring Data with Tiles Visualizations
Tiles visualizations are a type of data visualization that uses a grid-like structure to display data in a more visually appealing way. They are often used to display large amounts of data in a concise and easy to understand format. Tiles visualizations are also useful for quickly discovering patterns and trends in the underlying data. By breaking down the data into smaller chunks, it becomes easier to identify outliers and other important features that may be otherwise hidden. Tiles visualizations can also be used to compare different datasets, allowing for quick insights about relationships between variables.
Excel Power View – Advanced Features
Excel Power View is a powerful business intelligence tool that helps to create interactive, graphical presentations from data stored in Excel spreadsheets. Power View enables users to visualize and explore their data in new ways. It includes a wide range of advanced features that allow users to create rich and engaging visualizations and present their data in a more meaningful way. These features include interactive charts, maps, slicers, and timelines. Additionally, Power View enables users to create powerful models and generate reports. This makes it easier to identify trends, patterns, and correlations within their data. Power View also allows users to customize their visualizations, allowing them to add or remove elements. This makes it easier to customize their visualizations to fit the specific needs of their business.
Creating a Default Field Set for Table
CREATE DEFAULT FIELD SET FOR table_name
AS
field_name_1 int,
field_name_2 varchar(255),
field_name_3 date,
field_name_4 float
Setting Table Behavior
The behavior of tables in Excel can be set in the Table Tools Design tab. This tab allows you to customize the style of the table, as well as set options for sorting, filtering, and displaying data. You can also set the behavior of the table by adjusting column widths, enabling or disabling totals rows and headers, setting the color and font of the table, and more.
Filtering Values in a View
To filter values in a view, you can use the WHERE clause in the SQL query that is used to create the view. This clause allows you to specify which rows to include or exclude from the view based on certain criteria. For example, you could filter values based on a particular value in a column, a range of values, or even a combination of different conditions. You can also use the ORDER BY clause to sort the values in the view.
Adding Title to Power View
To add a title to a Power View, open the Power View sheet and select the Design tab. Then, select the Show/Hide Properties icon in the View tab, and a pane will appear on the right side of the window. In this pane, you can enter a title for the Power View in the Title field.
Adding Data Labels in a Chart Visualization
Data labels can be added to a chart visualization in a variety of ways. Depending on the type of chart being used, the data labels can be added directly to the chart or a third-party program may be used. For example, when creating a line chart in Excel, data labels can be added directly to the chart. In addition, a third-party charting program such as Tableau or Power BI can also be used to add data labels to a chart. These programs offer more options for styling and formatting the data labels, such as changing the font, color, or size. Data labels can also be added to charts manually with a graphics program, such as Adobe Illustrator. In this case, the individual data points or data labels can be added directly to the chart.
Interactive Data Visualization in Power View
Interactive Data Visualization in Power View is a feature in Microsoft Excel that allows users to create and interact with visualizations of their data. With Power View, users can create charts, graphs, and maps to better understand their data, as well as use animation, filtering, and other features to further explore their data. Power View is a great tool for creating interactive visualizations that can be shared with colleagues and stakeholders, making it easier to communicate data and draw insights.
Changing the Sort Order of a Field
The sort order of a field can be changed by clicking the dropdown arrow located to the right of the field name in the query design grid. From the dropdown menu, select either ‘Ascending’ or ‘Descending’ to change the sort order.
Filtering Visualizations with Slicers
Slicers are interactive elements used in Microsoft Excel and Power BI to filter data in visualizations. They are similar to drop-down menus but are interactive, allowing users to quickly and easily filter data by a range of criteria. Slicers can be used to filter any type of visualization, from bar charts to line graphs. They are especially useful for filtering large datasets with many variables, allowing users to quickly narrow down the data set to only the information they need. Slicers can also be used in combination with other visualizations, such as maps, to create more dynamic and interactive visualizations.
Creating Interactive Bar and Column Charts
Interactive bar and column charts can be created using a variety of software programs, such as Microsoft Excel, Tableau, and D3.js. Depending on the program used, the steps involved in creating an interactive bar or column chart may vary slightly. Generally, however, the process involves creating the data set, selecting the chart type, customizing the chart elements, and adding interactivity.
To create an interactive bar or column chart in Microsoft Excel, one must first create the data set. This involves entering the data into the spreadsheet, which can be done manually or by importing the data from an external source. Once the data is entered, the chart type must be selected. This can be done by clicking the “Insert” tab, selecting the “Charts” section, and choosing either the “Bar” or “Column” option from the drop-down menu. After this, the chart elements can be customized by selecting various options from the “Chart Tools” section. Finally, interactivity can be added to the chart by using the “Data” tab and selecting “Interactive Chart.”
Tableau is a more sophisticated software program that can be used to create interactive bar and column charts. In this software, one must first upload the data set, which is done by selecting “Connect to Data” in the “Data” tab. Once the data is uploaded, the chart type must be selected, which can be done by clicking the “Chart” tab and selecting either the “Bar” or “Column” option. Customizing the chart elements can then be done by selecting various options from the “Format” tab. Finally, interactivity can be added by selecting the “Actions” tab and choosing the type of interactivity desired.
D3.js is a JavaScript library that can be used to create interactive bar and column charts. To do this, one must first create the data set, which can be done by entering the data into the JavaScript code. Once the data is entered, the chart type must be selected, which can be done by adding the appropriate code to the JavaScript file. After this, the chart elements can be customized by adding code that specifies the desired formatting. Finally, interactivity can be added by adding code that defines the desired behavior.
Excel Power View and Data Model
Excel Power View is a powerful data visualization tool that allows users to create interactive charts and graphs. It enables users to quickly explore and analyze data and uncover insights in it. Power View also offers interactive reports, which makes it easier to understand and interpret data.
Data Model is a way of organizing data into different categories or entities, and specifying the relationships between them. Data Modeling allows the user to create an organized structure of data that can be easily manipulated, managed, and analyzed. It is an important step for understanding data, and helps in decision-making. Excel Power View enables users to create interactive data models from the data that is stored in the workbook.
Power View and Data Model
Power View is a data visualization and presentation tool that is part of Microsoft Office and allows users to create interactive, visual data dashboards and reports. It is used to explore and analyze data from multiple sources, such as data warehouses, cubes, relational databases, and PowerPivot workbooks. It uses a data model, which is a collection of tables and relationships, to define and organize the data. The data model is used to create data visualizations and reports, allowing users to interact with their data in a meaningful way. Power View also offers features such as natural language search, drill-down, and filtering.
Creating Data Model from Power View Sheet
The data model for a Power View sheet will be determined by the data source used to create the report. Power View sheets are created by connecting to data sources such as Microsoft Excel, SQL Server, or Power BI. Depending on the data source, the data model will vary. For example, if the data source is SQL Server, the data model will be based on the database schema. If the data source is Microsoft Excel, the data model will be based on the worksheets included in the workbook. The data model used in Power View sheets also depends on the type of visualization used. For example, if a bar chart is used, then the data model would need to include the data fields needed to create the chart.
Modifying Data Model from Power View Sheet
When modifying a data model from a Power View sheet, you can add or delete fields, change the data type, rename fields, change the sort order, or add custom calculations. You can also create relationships between fields, create hierarchies, and hide or unhide fields. Additionally, you can add calculated columns or measures, create calculated tables, and add or remove aggregations.
Excel Power View – Hierarchies
Excel Power View is a powerful data visualization tool that allows users to create interactive data visualizations and reports. It offers users the ability to create hierarchies that can be used to make sense of complex data. A hierarchy is a structure of objects arranged in levels, with each level representing a subset of the objects in the previous level. A hierarchy can be used to show the relationship between different objects in a dataset. For example, a company’s organizational chart could be represented using a hierarchy, with each level showing the employees in that level of the organization. Excel Power View’s Hierarchies feature can be used to create such hierarchies and to explore the data in each level.
Viewing a Hierarchy from Data Model
A hierarchy from a data model would be an organized structure of data that shows the relationship between different components of a system. For example, a hierarchy might show the relationships between customer accounts, products, and inventory. In this example, customer accounts would be at the top level, followed by products and inventory. Each of these components would have their own individual data fields that can be accessed by the system. This hierarchy would make it easier for the system to find and gather data from the different components.
Creating a Hierarchy in Power View
1. Open Microsoft Power View.
2. Select a data source to connect to.
3. Select the fields you would like to use in your hierarchy.
4. In the Field List, select the field you want to use as the parent field in the hierarchy.
5. Click the Hierarchy button in the ribbon.
6. Select the fields you want to include in the hierarchy.
7. Drag and drop the fields in the correct order.
8. Click the Create button to create the hierarchy.
9. Your hierarchy will now appear in the Field List.
Drilling Up and Drilling Down the Hierarchy in Matrix Reports
Drilling up and drilling down the hierarchy in matrix reports refers to the ability to navigate through data in a hierarchical structure. When drilling up, users can move from the lowest level of detail to the highest level of detail. When drilling down, users can move from the highest level of detail to the lowest level of detail. This allows users to quickly view data in different levels of detail, allowing them to identify trends, patterns, and outliers in their data. It also allows users to quickly switch between different views of the same data in order to gain different insights.
Hierarchy in Bar Chart
A bar chart can be used to illustrate hierarchies by organizing the data into different categories and then plotting a bar for each category. The height of each bar can then be used to indicate the relative size of each category. For example, a bar chart can be used to show the relative sizes of different countries in terms of population, or the relative sizes of different departments within a company.
Hierarchy in Column Chart
Hierarchy in column charts is typically represented by the order in which the columns appear from left to right. The first column typically represents the highest amount, and the last column typically represents the lowest amount. Adding labels to each column can further emphasize the hierarchy. Additionally, the height of each column can also signify the hierarchy, with the tallest column representing the highest amount and the shortest column representing the lowest amount.
Hierarchy in Pie Chart
A pie chart is a circular chart that is divided into sections, each section representing a proportion of the whole. In a hierarchy pie chart, the sections are organized in hierarchical order, with the largest section representing the highest level of the hierarchy, and the remaining sections representing lower levels of the hierarchy. The purpose of the hierarchy pie chart is to illustrate the relative importance of each level of the hierarchy.
Filtering Hierarchy in Pie Chart with Column Chart
Filtering a hierarchy in a pie chart with a column chart can be done by using a combination chart. The pie chart will display the overall value of the hierarchy, while the column chart will display the breakdown of the hierarchy. The column chart can be filtered to show specific values from the hierarchy, allowing users to see specific data from the hierarchy without having to manually drill down into the data.
Key Performance Indicators
1. Customer Satisfaction: This measures how satisfied customers are with the products and services provided by the company. It can be measured by customer feedback, surveys, or other methods.
2. Revenue Growth: This measures the increase in revenue from year to year. It is an important metric for evaluating the success of the company’s products and services.
3. Employee Retention: This measures the number of employees who remain with the company over time. It is an important indicator of employee satisfaction and the company’s overall effectiveness in providing a positive work environment.
4. Return on Investment (ROI): This measures the amount of profit generated from a given investment. It can be used to compare the performance of different investments and to evaluate the effectiveness of the company’s overall strategy.
5. Market Share: This measures the company’s share of the total market for its products and services. It is an important metric for evaluating the effectiveness of its marketing and sales efforts.
Identifying the KPIs
KPIs, or Key Performance Indicators, are metrics used to measure the success of a business or organization. Common KPIs include customer satisfaction, revenue, profit, sales, cost of goods sold, employee satisfaction, market share, and return on investment. Other KPIs may be specific to an industry or organization and can measure performance related to goals and objectives.
Defining KPIs in the Data Model
KPIs (Key Performance Indicators) are metrics used to measure the performance of an organization or process. In a data model, KPIs can be defined using a combination of metrics that measure different aspects of performance. For example, in a customer relationship management (CRM) system, KPIs might include metrics such as customer satisfaction, lead conversion rate, and average sales per customer. These metrics can then be used to track the performance of a company’s sales and customer service teams. Other KPIs that might be included in a data model include financial metrics such as revenue, gross profit margin, and net income.
Visualization of KPIs in Power View
Power View can be used to visualize KPIs in a variety of ways. It can create line, bar, column, and pie charts to compare and analyze data. It can also create interactive maps and geo-spatial visuals to view data points and trends. Power View can also be used to create interactive dashboards to visualize KPIs in a more engaging way. These dashboards can be used to quickly compare and analyze data to identify trends, outliers, and other insights. Additionally, Power View can be used to create interactive stories that help to communicate the key insights and findings of the data.
Editing KPIs in Power View
KPIs in Power View can be edited by clicking the “Edit KPI” button in the KPI panel of the Power View ribbon. This will open the KPI designer, where you can customize the KPI by changing its name, expression, goal value, status thresholds, and more. You can also add additional KPIs or delete existing ones from the KPI designer.
Defining KPIs in Power View
KPI stands for Key Performance Indicator. They are measurable values used to track and evaluate the success of an organization, goal, or initiative. In Power View, KPIs can be used to track the progress of a goal or project, compare performance over time, and identify areas of improvement. Examples of KPIs in Power View include: customer satisfaction, sales figures, customer churn rate, cost per acquisition, and profit margin.
Aesthetic Reports with KPIs in Power View
Aesthetic reports with KPIs in Power View are used to provide an attractive visual representation of data and key performance indicators (KPIs). They can be used to analyze trends, identify problems, and take action to improve performance. Power View allows users to easily create interactive, visually appealing reports that can be used to make better decisions. Reports can include charts, tables, maps, and other visuals to help make data easier to understand. KPIs can be created to measure performance against goals, give an indication of progress, and provide insights into areas of strength and weakness. Power View can also be used to create interactive dashboards and scorecards to track performance over time.
Excel Power View – Formatting a Report
There are several ways to format a report in Excel Power View.
1. Change the Report Theme: In the Design tab, select the Theme dropdown menu and choose from the available options such as Business, Blue, Dark, or Colorful.
2. Format Chart Types: Select a chart type and click on the Chart Design tab to access formatting options, such as changing the chart type, adding labels or legends, or changing the chart type color palette.
3. Change the Report Layout: In the Layout tab, select from a variety of options to customize the look of the report, such as toggling between a grid or matrix layout, or adding and removing items from the report.
4. Add Conditional Formatting: In the Format tab, select the Conditional Formatting dropdown and choose from various options to set rules that will make certain values in the report stand out.
5. Change the View: In the View tab, choose from a variety of options to customize the view of the report, such as toggling between a Grid or Table view, or changing the sorting order.
By taking advantage of these formatting options, you can create visually-pleasing and informative reports in Excel Power View.
Changing Theme
To change the theme of an Excel Power View, click the “Design” tab in the ribbon bar and select “Themes”. Here you will have the option to choose from a variety of different themes which can be applied to your Power View. Once you have selected the desired theme, click “Apply” and the change will be applied.
Setting Background Image
To set the background image in Excel Power View, select the Design tab, then click on Page Background. Select Picture and then choose the image you wish to use. When finished, click Apply.
Changing Background Colors
1. Select the cells you want to change.
2. Click the “Home” tab.
3. Click the “Fill Color” drop-down arrow in the “Font” section of the Ribbon.
4. Choose the color you want from the palette.
5. Click the “Fill Color” button again to confirm the selection.
Changing Text Size in a Power View Report
Text size in a Power View report can be changed by selecting the text and then adjusting the font size in the Home tab of the ribbon. The font size can be adjusted by clicking on the down arrow to the right of the font size box and then selecting the desired size. Alternatively, the font size can be set to a specific size by typing the font size directly into the font size box.
Formatting Numbers in a Power View Report
To format numbers in a Power View report, select the field containing the numbers and click on the “Format” button in the “Fields” pane. From the “Format” menu, select the desired number format from the drop-down list. To customize the format further, click on the “More Options” link. This will open the “Number Format” window, where you can customize the format of the numbers using the available options.
Changing Number Aggregates
The original number aggregate is a sum. A different number aggregate can be an average. An average is calculated by adding all of the numbers in a set together and dividing by the number of numbers in the set.
Excel Power View – Sharing
Once you have created a Power View report, you can share it with others. You can share the report by sending the file in an email, storing it on a network drive or sharing it through SharePoint. You can also embed the report in a web page or a blog. To share the report, you need to save it as an Excel workbook. The report can then be shared with others who have access to the workbook.
Sharing Power View in Excel
To share Power View in Excel, you can use a variety of tools and methods. You can save the Excel file that contains the Power View to a network location, or upload it to a cloud storage service like OneDrive and send a link to the file. You can also save the Power View as a PDF or image file and share it via email or other messaging services. Additionally, you can embed the Power View in a web page or blog. Finally, you can also publish the Power View to the Power BI service, where other users can access and interact with the data.
Printing Power View Reports in excel
Power View Reports can be printed in Excel using the following steps:
1. Open the Excel workbook with the Power View report.
2. Select the Page Layout tab on the ribbon.
3. Click the Print button.
4. Select the Print option from the drop-down menu.
5. Select the printer you want to use.
6. Select the Paper Size that you want to use.
7. Select the Orientation you want to use.
8. Click the Print button.
Your Power View report will now print from Excel.
Publishing to Power BI
Power BI provides a cloud-based SaaS platform that enables users to create and share insights, dashboards, and reports. The platform allows users to connect to data from a variety of sources, analyze the data, and create visually compelling reports and dashboards. Power BI also offers a range of features that make it easy to publish dashboards and reports to the web. To get started, users can connect to data sources, build visualizations, and create reports and dashboards. Once the dashboards and reports are created, users can publish them to the web for easy access and sharing.