An Excel dashboard is an interactive tool used to analyze data and display information in an organized and meaningful way. It is typically an Excel spreadsheet that uses charts, graphs, and other visuals to display data in an easy-to-understand format. With the help of an Excel dashboard, you can quickly identify trends and patterns in your data, allowing you to make better decisions and take action quickly.
Audience
The audience for Excel Dashboards Tutorials would typically be business professionals and students who are interested in learning more about how to use Excel to create visualizations and dashboards. Additionally, these tutorials may also be useful to data analysts, data scientists, and other professionals who need to create interactive reports or presentations.
Prerequisites
1. Basic knowledge of Microsoft Excel
2. Understanding of basic formulas, functions, and charts in Excel
3. Familiarity with data analysis and visualization concepts
4. Working knowledge of filters, slicers, and pivot tables
5. Understanding of spreadsheet formatting and layout
6. Experience working with large data sets
Excel Dashboards – Introduction
Excel dashboards are an interactive form of data visualizations that allow users to quickly and easily see trends, patterns, and other insights from their data. Dashboards are great for quickly getting an overall picture of the data, and can be used to monitor changes in the data over time, identify potential problems and opportunities, and help make decisions. Excel dashboards can be used to display data from multiple sources in a variety of ways, including tables, graphs, charts, and other visualizations. With Excel dashboards, users can quickly and easily see patterns, trends, and other insights from their data.
Dashboard Definition
Excel Dashboards are visual tools used to display data and track key performance indicators (KPIs). They typically contain charts, graphs, and tables that allow users to quickly identify trends, highlight areas of concern, and compare data over time. Dashboards allow users to quickly analyze data, spot trends, and make informed decisions. They are often used in businesses to track business performance, monitor customer satisfaction, or analyze financial data. Excel dashboards are a great way to quickly visualize data and uncover insights.
Key Metrics for Dashboards
1. Revenue: This metric indicates the total amount of money a company has earned in a given period of time.
2. Cost of Goods Sold (COGS): This metric measures the cost associated with producing a product or service. It is usually calculated as the total cost of materials and labor needed to produce a product or service.
3. Profit Margin: This metric is the difference between the total revenue earned and the total cost of goods sold. It is a measure of how profitable a company is.
4. Return on Investment (ROI): This metric measures the profitability of an investment by comparing the gain from an investment to the cost of the investment.
5. Customer Acquisition Cost (CAC): This metric measures the cost of acquiring a new customer. It is usually calculated as the total cost of marketing and sales activities divided by the number of new customers acquired.
6. Customer Retention Rate (CRR): This metric measures the percentage of customers that remain loyal to a business over time. It is a measure of customer loyalty and indicates the effectiveness of a company’s customer engagement efforts.
7. Average Order Value (AOV): This metric measures the average amount a customer spends on an order. It is a measure of customer spending power.
8. Conversion Rate: This metric measures the percentage of website visitors that take a desired action. It is a measure of website visitor engagement.
Excel Dashboard Benefits
1. Increased Efficiency: Excel dashboards can help to increase the efficiency of data analysis and reporting by providing an organized, easy-to-understand interface. This saves time and resources, enabling businesses to make better informed decisions.
2. Data Visualization: Excel dashboards provide a visual representation of data that helps to prioritize information, display trends and patterns, and compare data across multiple sources.
3. Automation: Excel dashboards can be automated to update data in real-time, eliminating the need for manual data entry or complicated formulas.
4. Improved Collaboration: Excel dashboards make it easier for teams to collaborate on data analysis and reporting by sharing the same dashboard. This can help improve communication, reduce errors, and increase overall productivity.
5. Cost Savings: Excel dashboards reduce the need for specialized software and enable businesses to save money by using existing tools and resources.
Types of Excel Dashboards
- Strategic Dashboards
- Analytical Dashboards
- Operational Dashboards
- Informational Dashboards
Strategic Dashboards
A strategic dashboard is a type of data visualization that is designed to provide an overview of the performance of an organization or initiative. The dashboard typically includes visual representations of key performance indicators (KPIs), showing how the organization is progressing towards its goals. Strategic dashboards provide executives, managers, and other stakeholders with an at-a-glance view of how their organization is performing. This helps them make better decisions and take appropriate action. Strategic dashboards can also be used to track trends, identify areas for improvement, and compare performance against competitors.
Analytical Dashboards
Analytical dashboards are interactive visual representation tools that provide insights into complex datasets. They are used to monitor and measure key performance indicators and trends in order to make informed decisions. Dashboards can be used to analyze data from multiple sources, such as customer databases, financial reports, operational data, and more. They can be customized to provide detailed insights into specific data points and help business executives and managers understand their business performance. Analytical dashboards provide powerful visualizations that help users to quickly identify patterns, trends, and other insights in their data.
Operational Dashboards
Operational dashboards are tools used to track, analyze, and monitor performance metrics, such as KPIs, in real-time. These dashboards help organizations make informed decisions, improve operational efficiency, and optimize processes. They provide a holistic view of the performance of the organization, allowing managers to quickly identify any problems or potential areas of improvement. Operational dashboards can also be used to track customer satisfaction, sales metrics, resource utilization, and other key metrics.
Informational Dashboards
Informational dashboards are graphical user interfaces that enable users to quickly access and analyze information in an organized and visual way. They are used to track and display data in real-time, making it easier to identify trends, gain insights into performance, and make decisions. Dashboards are used in a variety of industries, including finance, healthcare, and manufacturing, to provide users with the ability to access and analyze data quickly and easily.
Dashboard Data and Format
Dashboards are typically used to display a variety of data in a visual and interactive format. This data can be presented in a number of ways, such as charts, graphs, tables, and maps. Dashboards also often include interactive elements such as filters and drill-downs, which allow users to quickly explore and analyze the data. Depending on the purpose of the dashboard, the data may be displayed in different formats, such as numerical values, percentages, or currency values. Additionally, data may be organized by time period, geography, or demographic.
Live Data on Dashboards
Live data on dashboards allows companies to make decisions in real-time using data. It allows users to monitor data as it happens and make informed decisions based on the insights from the data. Dashboards provide quick and easy access to data, which can be used to track key performance indicators (KPIs), identify trends and insights, and make decisions to optimize performance. Dashboards can also be used to monitor the health of a business and detect potential issues or opportunities. Dashboards can be customized to display the most relevant and actionable data, enabling users to make better informed decisions.
Excel Features to Create Dashboards
1. Pivot Tables: Pivot tables are a powerful tool for summarizing and analyzing large data sets. They can be used to quickly create visual summaries of data and create customized dashboards.
2. Charts and Graphs: Excel offers a comprehensive selection of charts and graphs that can be used to visually represent data and create engaging dashboards.
3. Conditional Formatting: Excel’s conditional formatting feature can be used to highlight important data points or trends in a dashboard, making it easier to read and interpret.
4. Formulas: Formulas can be used to automate dashboard calculations and ensure accuracy.
5. Filtering: Excel’s filtering feature can be used to quickly filter data in a dashboard and focus on a specific subset of data.
6. Macros: Macros can be used to automate processes, such as creating dashboard elements from multiple sources of data.
Excel Tables
Excel tables are used to store and organize data in a spreadsheet. They provide a range of features that make working with data easier, such as sorting and filtering, formatting options, and calculated columns. They also make it easier to create charts and pivot tables from the data. Excel tables are also beneficial for creating formulas that reference data in the table, as the table names and column references can be used in the formulas.
Sparklines
Yes, it is possible to add sparklines to your Excel tables. To do this, select the cells you want to add the sparklines to, then click on the Insert tab and select the type of sparkline you want. You can then customize the sparkline settings and add any labels or data points you want.
Conditional Formatting
Conditional formatting is a feature in excel that allows you to format cells based on specific criteria. This can be used to visually emphasize important information, such as highlight cells that are above a certain value, or to identify data that meets specific criteria, such as cells that contain text. You can also use conditional formatting to highlight duplicate or unique values, or to highlight rows or columns based on specific criteria. You can also use conditional formatting to create data bars, color scales, and icon sets.
Excel Charts
Excel Charts are graphical representations of data that can be used to help visualize and analyze data. Charts can be created from data in an Excel spreadsheet, from existing data sources, or from data entered manually. Excel Charts can be used to display trends, compare values, and reveal relationships between data. There are a variety of chart types available including bar chart, column chart, line chart, pie chart, area chart, scatter chart, bubble chart, and stock chart.
Excel Camer
The Excel Camera is a digital camera that is designed to capture images in Microsoft Excel format. It is a specialized camera that can be used for a variety of applications, including scientific experiments, data analysis, and business intelligence. The camera uses a 12-megapixel sensor to capture images in Microsoft Excel format, which can then be viewed directly in the spreadsheet. The camera also features a wide-angle lens and an adjustable focus to help capture the most accurate images. Additionally, the camera is compatible with both Windows and Mac operating systems.
Excel PivotTables
Excel PivotTables are a powerful feature that allows users to quickly summarize, analyze, and explore data. PivotTables enable users to quickly shift their data views, aggregate data, and make calculations on their data. They are also an excellent tool for exploring data, as they allow users to quickly drill down into their data to find meaningful insights. PivotTables are a great way to explore data, summarize data, and make calculations in Excel.
Dynamic Dashboard Elements with Interactive Controls
1. Charts and Graphs: Charts and graphs can be interactive to allow users to explore and compare data with the click of a button. These charts and graphs can be linked to live data sources, allowing the user to see real-time updates and trends.
2. Maps: Interactive maps can be used to display geographical data, such as population, economic activity, and climate patterns. The user can click and drag to explore different regions, while interactive controls allow them to filter data points to gain a better understanding of the area.
3. Widgets: Widgets are small applications that can be embedded into a dashboard. They can provide quick access to real-time information, such as stock prices, current weather, or news headlines. Widgets can also be used to create custom visualizations, such as gauges and thermometers, to display key performance indicators.
4. Dashboard Filters: Dashboard filters can be used to quickly and easily filter data to focus on relevant information. These filters can be programmed to only display certain types of data, or to display data from certain time frames or geographic locations. This allows the user to quickly analyze large amounts of data and draw conclusions more efficiently.
5. Interactive Visualizations: Interactive visualizations allow the user to explore data in a more dynamic and engaging way. For example, a bubble chart can be used to visualize relationships between different data points, while a heat map can be used to display geographic data. Both of these visualizations can be interactive, allowing the user to hover over elements to gain further insight.
Excel Power PivotTables and Power PivotCharts
Excel Power PivotTables and Power PivotCharts are powerful tools for analyzing data in Excel. They allow you to quickly and easily create interactive dashboards and reports that can be used to analyze large amounts of data in a very short amount of time. Power PivotTables and Power PivotCharts enable you to create complex calculations, apply filters, slice and dice your data, and drill down into the details to identify trends and patterns. They also let you easily share and collaborate on your work with others, as well as create interactive visualizations for presentations.
Excel Power View Reports
Excel Power View Reports are interactive data visualizations that allow users to explore and analyze data from various sources. These reports are created using the Power View add-in for Excel. They can be used to quickly create insightful and visually appealing reports from data stored in an Excel workbook. Power View Reports are interactive and allow users to filter and drill down into data, as well as to add graphs, charts, and other types of visualizations to their reports. They also provide an intuitive way to explore data and uncover new trends and insights.
Key Performance Indicators (KPIs)
1. Customer Satisfaction: Measuring customer satisfaction can help to identify areas of strengths and weaknesses in the customer experience. This can be done through surveys and feedback forms.
2. Sales Volume: Tracking sales volume is an important KPI for determining the success of your business. This can be done by tracking the number of sales over time, as well as the average sale amount.
3. Cost Reduction: Keeping costs low is an important part of any business and can be tracked by monitoring expenses, overhead costs, and other costs associated with running the business.
4. Revenue Growth: Tracking the growth of your business’s revenue can help to determine the success of new initiatives and strategies.
5. Employee Satisfaction: Employee satisfaction is an important KPI for any business, as it can help to identify areas of improvement in the workplace. This can be done through surveys and feedback forms.
Excel Dashboards – Conditional Formatting
Excel Dashboards can utilize conditional formatting to draw attention to important elements of the dashboard. This can be done by setting up rules that automatically format cells based on the data within them. For example, you could set up a rule that turns a cell red when the data within it is higher than a certain threshold, or you could set up a rule that turns a cell green when the data within it is lower than a certain threshold. Conditional formatting can also be used to create color scales, data bars, and icon sets that help to emphasize key information.
Conditional Formatting for Data Visualization
Conditional formatting is a feature in Microsoft Excel and other spreadsheet programs that allows users to apply formatting to data based on specific conditions. This formatting can be used to visualize data and make it easier to read and interpret. For example, you can use conditional formatting to highlight the highest and lowest values in a dataset, or to compare values across a range of cells. You can also use it to emphasize trends in data or to highlight outliers.
Highlighting Cells
Highlighting cells is a common method of emphasizing important data in a spreadsheet. It can be used to draw attention to specific data, such as totals or averages, or to group related data together. Highlighting cells can be done by selecting the cells, then using a preset fill color or creating a custom color. Cell borders can also be used to emphasize certain data. Additionally, formatting tools can be used to increase font size, bold text, or add other formatting effects to cell data.
Top / Bottom Rules
Top rules are guidelines that govern the behavior of an individual or a group. They are intended to provide a framework for making decisions and to ensure that the actions of an individual or group are in line with the values and goals of the group. Bottom rules, on the other hand, are the actual regulations or laws that are enforced by an individual or a group. Bottom rules are intended to ensure that the behavior of an individual or a group is in compliance with the top rules.
You can use Top / Bottom Rules to assign a format to the values meeting any of the following criteria:
1. Top/Bottom N: Format the top/bottom N values in a range.
2. Top/Bottom Percent: Format the top/bottom percentage of values in a range.
3. Above/Below Average: Format values above/below the average of the range.
4. Above/Below Std. Dev.: Format values above/below the standard deviation of the range.
5. Above/Below Custom Value: Format values above/below a custom value.
Data Bars
Data bars are graphical representations of data that are displayed as bars. They allow data to be quickly and easily compared, as the length of the bar indicates the value of the data. Data bars can be used to compare multiple pieces of data at once, and they can be color coded to make the visualization even easier to read.
Color Scales
Color scales are a way of expressing information or data with color. They are used to represent a range of values and show how each value relates to the others. Color scales can be used in a number of different ways, such as to represent the intensity of a certain measurement, the relative importance of different categories, or the progress of a project. Additionally, color scales can be used to create a visual effect, such as making a chart or graph more visually appealing.
Icon Sets
Excel offers a wide variety of built-in icon sets that you can use to visualize data in your worksheets. These icon sets are available in the Insert tab of the ribbon. To access them, click on the “Insert” tab and then select the “Icons” drop-down. Here, you will find several different types of icon sets that you can use to represent your data. For example, you can use the traffic light icon set to represent the performance of a project, or the checkmark icon set to represent the completion of a task. With these icon sets, you can easily add visual appeal to your worksheets and make them easier to understand.
Using Custom Rules
You can define your own Rules and format a range of cells satisfying a particular condition.
1. To format a range of cells that contain a value that is greater than 500, select the range of cells, then click on the Home tab, select Conditional Formatting, and then select New Rule.
2. In the New Formatting Rule dialog box, select Use a formula to determine which cells to format.
3. In the Format values where this formula is true field, enter the following formula: =A1>500
4. Click the Format button and select the desired formatting options.
5. Click OK to apply the formatting rule.
Managing Conditional Formatting Rules
To manage conditional formatting rules, go to the Home tab, select Conditional Formatting, and then select Manage Rules. From here, you can view, modify, and delete existing rules, as well as add new rules.
Excel Dashboards – Excel Charts
Excel dashboards and charts can be a great way to quickly analyze data and make decisions. Excel dashboards and charts make it easy to visualize data, highlight key points, and compare data sets. These types of visuals can be used to create reports, track performance, and provide insights into trends. Excel dashboards and charts can be used for a variety of purposes, including financial analysis, project management, customer analytics, and more. Excel dashboards and charts also provide an easy way to quickly communicate insights to stakeholders and other decision makers.
Types of Charts
1. Column Chart: A column chart displays data using vertical bars. It is commonly used to compare values across different categories.
2. Line Chart: A line chart is used to display changes over time. It shows trends for a given data set by plotting data points connected by straight lines.
3. Bar Chart: A bar chart is a type of chart that uses horizontal bars to compare values across different categories.
4. Pie Chart: A pie chart is used to display the relative contribution of each category to a total. It is composed of a circle divided into sections to show the relative proportions of each category.
5. Area Chart: An area chart is a type of chart that uses stacked areas to display the contribution of each category to a total.
6. Scatter Plot: A scatter plot is used to identify relationships between two variables. It is composed of a set of points plotted on a coordinate grid.
7. Bubble Chart: A bubble chart is a type of chart that uses circles to represent data points. The size of each circle is proportional to the value of the data point.
8. Stock Chart: A stock chart is used to visualize the price movements of a given stock over time. It is composed of a series of lines representing the stock’s movements.
Selecting the Appropriate Chart Type
The appropriate chart type to use in an Excel dashboard will depend on the data that needs to be presented. For example, if the data consists of a comparison of two or more values over time, a line chart may be the best choice. For data that consists of categories, a bar chart or pie chart would be more appropriate. If the data is more complex and includes several variables, a combination chart may be the best option. Additionally, if the data needs to be represented in a more interactive manner, consider using a sparkline chart or interactive chart.
Showing Trends with Sparklines in Tables
Sparklines are a powerful way to visualize trends in data, allowing readers to quickly identify and compare changes over time. By adding sparklines to tables, readers can quickly view the trends in the data and draw conclusions more easily. Sparklines can be used to illustrate a variety of data sets, from stock prices to employee performance.
To add sparklines to a table, begin by determining which data points you want to illustrate. Then, use a software program to create a line graph of the data points. Finally, embed the graph into the table. Make sure the sparklines are clear and easy to read by adjusting the size and font.
When using sparklines in tables, consider how to arrange the data and sparklines for optimal readability. For example, if you’re showing a trend over time, it is helpful to sort the data from earliest to latest. Additionally, consider adding a legend to the table to explain the sparklines.
Using sparklines in tables is an effective way to quickly illustrate trends in data. By adding sparklines, readers can quickly understand and compare changes over time, making it easier to identify patterns and draw conclusions.
Using Combo Charts for Comparisons
Combo charts are a great way to compare different data sets and relationships. For example, you could use a combo chart to compare sales figures over time as well as the number of products sold. By combining a line graph and a bar graph, you can easily see how the two variables are related and how they have changed over time. Additionally, combo charts can be used to compare multiple data sets, allowing you to quickly spot trends or correlations between them.
Fine Tuning Charts Quickly
1. Double-click on the chart to open the Chart Tools ribbon.
2. Select the Design tab and use the Chart Styles and Chart Layouts options to quickly modify the design of the chart.
3. Select the Format tab to make additional changes such as adding or removing borders, changing the font size, or adjusting the color of the chart.
4. Use the plus sign (+) next to a chart element to access more options to further customize the chart.
5. Save the chart after making the desired changes.
Using Aesthetic Data Label
Aesthetic data labels are used to create visually appealing and engaging visuals for data sets. They can be used to make data easier to understand, to draw attention to important elements, and to add an aesthetic element to your chart or graph. Examples of aesthetic data labels include adding icons, colors, or shapes to represent different data points, or adding labels that explain the meaning of data points or trends. Aesthetic data labels can also be used to add a sense of style to a chart or graph, adding a unique and visually appealing element that stands out from standard charts and graphs.
Using Trendlines in Chart
Trendlines are used in charts to identify and visualize the trend or pattern in the data. Trendlines can be used to identify trends in a data set, such as an increase or decrease in values over time. They are also used to identify support and resistance levels in the data, which can be used to make predictions about future values. Trendlines can be helpful in identifying trends in stock prices, sales figures, and other types of data.
Using Shapes in Charts
Shapes can be used to add visual interest to charts, such as to draw attention to a particular data point or to add emphasis to the overall design. Shapes can also be used to differentiate between different types of data, such as to distinguish between different categories or to visually separate different data sets. Additionally, shapes can be used as a reference point, such as to indicate where a trend line is located on a chart.
Using Cylinders, Cones, and Pyramids
Cylinders, cones, and pyramids can be used in charts to represent values. For example, in a bar chart, cylinders can be used to represent different categories of data, while cones can be used to represent trends over time and pyramids can be used to show different levels of comparison. Additionally, cylinders, cones, and pyramids can be used to create 3D charts to provide a more visual representation of data.
Using Pictures in Charts
Using pictures in charts can be a great way to help communicate data and information in a more engaging and visually appealing way. Pictures can be used to represent different data points, such as for a bar chart, pie chart, or line graph. They can also be used to add context and provide a visual representation of the data. For example, if you were displaying data about the number of people in different countries, you could use pictures of those countries’ flags to make the data more interesting and easier to understand. Pictures can also be used to add a sense of humor or levity to an otherwise dry presentation of data.
Excel Dashboards – Interactive Control
Excel dashboards can be enhanced with interactive controls such as drop-down menus, checkboxes, buttons, and scroll bars. These controls allow users to refine dashboard data, explore relationships between different data sets, and navigate quickly through large datasets. For example, a drop-down menu can be used to select different data points and view changes in data over time. Checkboxes can be used to display and hide different layers of data. A button can be used to automatically update a dashboard with the latest data. Scroll bars can be used to quickly move through datasets and view different data points. These interactive controls provide users with the ability to quickly customize and refine their data to get the information they need.
Scroll Bars in Dashboards
Scroll bars in dashboards are used to allow users to scroll through the data or information presented on the dashboard. This can be used to view additional information that may not fit in the given area on the dashboard. Scroll bars can also be used to navigate easily between different sections of the dashboard.
Creating a Scrollbar in Excel
1. Open the Excel workbook.
2. Select the sheet that contains the data you would like to add a scrollbar to.
3. Select the cell at the top left of the range of data you would like to add a scrollbar to.
4. On the Ribbon, click the Insert tab and then click the Scroll Bar option.
5. A Scroll Bar will appear on the sheet, with two small blue squares at either end. Resize the scrollbar by dragging the blue squares to select the range of data you would like to scroll through.
6. To control the scrolling, click the Developer tab on the Ribbon. On the left side, click on Properties.
7. On the Properties window, enter the minimum and maximum values in the Min and Max fields. This is the range of values the scrollbar will be able to scroll through.
8. In the Linked Cell box, enter the cell address of the cell that should change as the scrollbar is moved.
9. To finish, click OK. Now you can use the scrollbar to scroll through the range of data.
Creating a Dynamic and Interactive Target Line
To create a dynamic and interactive target line, one would first need to create the data visualization in a program such as Tableau, Microsoft Excel, or Power BI. The data visualization should contain the target line and the data points it needs to track. The target line should be dynamic, meaning it can be adjusted using user input. A range slider or drop-down menu could be used to allow users to adjust the target line.
Once the data visualization has been created, a programming language such as JavaScript can be used to add interactivity to the target line. The JavaScript code should detect user input and then update the target line accordingly. If the target line is adjustable, the code should also adjust the data points to fit the new target line. Finally, the code should also update any other visuals associated with the data visualization (e.g. showing the difference between the actual data points and the target line).
By adding interactivity and dynamic elements to the target line, one can create a more engaging and informative data visualization. This can help users better understand the data and make more informed decisions.
Create a column chart showing all this information
1. Open a new Excel workbook.
2. Enter the data into the cells.
3. Select the data range.
4. Click on the Insert tab in the Ribbon.
5. Select the Column chart option from the Chart group.
6. Select the chart type that best represents the data.
7. Click on the chart to customize it further.
8. Add titles, labels, or data markers as desired.
9. Save the Excel file
Create a Target Line across the columns
1. Select the range of cells that you would like to add a target line across.
2. Go to the Insert tab on the Ribbon and select Line from the Charts section.
3. From the drop-down menu, select the type of line you want, such as a straight line or a curved line.
4. You can customize the line’s color and width, as well as its position (above or below the data).
5. Click OK to add the target line to the selected cells.
Make the Target Line interactive with a scroll bar
To make the target line interactive with a scroll bar in excel, you will need to use the “Control Toolbox” on the Developer tab. Click on the “Insert” option, then select “Scroll Bar” from the Control Toolbox. Now, click and drag to set the size of the scroll bar. Next, select the “Properties” option from the Developer tab and make sure the “Linked Cell” field is set to the cell containing your target line. Finally, set the “Minimum Value”, “Maximum Value”, and the “Incremental Change” to the desired values. Now, when you use the scroll bar, the target line will be adjusted accordingly.
Excel Option (Radio) Buttons
Excel option (radio) buttons are small, round buttons that can be used to represent different options in a survey or questionnaire. When a user clicks on one of the buttons, it will be highlighted and the other buttons will be de-selected. This type of button is commonly used in Excel spreadsheets to allow users to quickly select one option from a list of choices.
Following will be the steps in Excel Option (Radio) Buttons
1. Launch Microsoft Excel and open a new or existing spreadsheet.
2. Select the cell or group of cells where you want to insert the option buttons
3. On the Developer tab, click the Insert icon located in the Controls group.
4. Select the Option Button icon in the Form Controls section.
5. Click and drag in the selected cell or cells to create the option buttons.
6. Right-click on one of the option buttons and select Format Control.
7. In the Format Control window, enter the Input Range for the option buttons. This will define the range of cells where the button values will be stored.
8. Enter the Cell Link for the option button. This will be the cell where the option button value will be stored.
9. Click OK to close the Format Control window.
10. Enter the labels that will appear next to each option button in the cells you previously specified.
11. Select the option button to activate it.
Excel Checkboxes
Excel checkboxes are interactive elements that appear in Excel spreadsheets and allow users to select an option or options from a list. Checkboxes can be used to indicate whether something is true or false, to select multiple items from a list, or to create a list of options to choose from. Checkboxes are also used to create interactive forms, to enable users to select certain options, or to display certain data in a spreadsheet.
Excel Dashboards – Advanced Excel Chart
Excel dashboards are an essential tool for data analysis, allowing you to quickly and easily explore your data and create a variety of interactive charts and graphs. Advanced Excel charts are a great way to make your data stand out, and to add a professional touch to your dashboard.
Advanced Excel charts can be used to highlight key trends, to compare data points, or to display complex relationships between variables. You can also use them to visualize data points in a more creative way than simple bar or line graphs. There are a variety of chart types available in Excel, such as area charts, scatter plots, and bubble charts, to name a few.
When creating advanced Excel charts, it’s important to keep in mind the goals of your dashboard. You should consider the type of data you are trying to visualize, the audience you are creating the dashboard for, and the type of message you are trying to convey. Once you’ve chosen the correct chart type, you can customize the chart to make it more engaging and informative. For example, you can add labels and annotations to make the data easier to interpret, or you can use color to draw attention to important points.
Creating advanced Excel charts can be both time-consuming and difficult. However, with the right tools and techniques, you can create stunning and informative charts that will help you better understand your data and make better decisions.
Types of Advanced Excel Charts
1. Line Charts: Line charts are used to show changes in data over a specific period of time. They are great for visualizing trends over time
2. Column Charts: Column charts are similar to line charts, except they use vertical or horizontal bars instead of lines. They are great for comparing values at different points in time.
3. Area Charts: Area charts are similar to line charts, except they fill the area between the line and the x-axis with color. They are useful for highlighting trends and changes over time
4. Pie Charts: Pie charts are used to compare different parts of a whole. They are great for showing the relative size of different categories.
5. Bar Charts: Bar charts are similar to column charts, except they use horizontal bars instead of vertical ones. They are great for comparing values between different categories.
6. Scatter Charts: Scatter charts are used to show the relationship between two sets of values. They are great for showing correlations or trends.
7. Bubble Charts: Bubble charts are similar to scatter charts, except they use circles instead of points. They are great for showing the relative size of different categories.
8. Pareto Charts: Pareto charts are used to show the relative importance of different categories. They are great for identifying the most important factors in a given scenario.
9. Gantt Charts: Gantt charts are used to show the progress of a project over time. They are great for tracking the timeline of a project.
Displaying Quarterly Performance with Bullet Charts
Bullet charts are an effective and easy-to-read way to display quarterly performance. A bullet chart shows performance in relation to a pre-determined target by using bar charts to compare the actual performance to the target. The bars are used to compare performance to the target and the shapes used to represent the performance are usually a line or a circle. The length of the line or the size of the circle can then be used to represent how close or far away the performance is from the target. Bullet charts can be used to track quarterly performance across different metrics and make it easier for viewers to quickly understand the data.
Displaying Profit % Region-Wise with Waffle Charts
import matplotlib.pyplot as plt
%matplotlib inline
# Region Wise Profit
region_profits = [18,30,21,15]
def waffle_chart(region_profits, title):
# Compute the proportion of each category with respect to the total
region_proportions = [float(value) for value in region_profits]
total_num_tiles = sum(region_proportions)
proportion_per_tile = [value/total_num_tiles for value in region_proportions]
# compute the number of tiles for each catagory
num_of_tiles = [int(value/proportion_per_tile[0]) for value in proportion_per_tile]
# Plot the waffle chart
fig = plt.figure(
FigureClass=Waffle,
rows=5,
values=num_of_tiles,
colors=(“#f44336″,”#2196f3″,”#4caf50″,”#ffeb3b”),
title={‘label’: title, ‘loc’: ‘left’},
labels=[“Region 1″,”Region 2″,”Region 3″,”Region 4”],
legend={‘loc’: ‘lower left’, ‘bbox_to_anchor’: (0, -0.4), ‘ncol’: len(region_profits), ‘framealpha’: 0},
starting_location=’NW’
)
plt.show()
waffle_chart(region_profits, title=”Profit % Region-Wise”)
Excel Dashboards – PivotTables
Excel dashboards are an excellent way to organize and present data in a visual format, enabling users to quickly and easily identify trends, patterns, and insights. Excel dashboards are typically created using pivot tables and charts, which allow users to quickly analyze and compare different sets of data. Pivot tables help to summarize large amounts of data, while charts provide a graphical representation of the data that can easily be understood. Excel dashboards are used by businesses, organizations, and individuals to track key performance indicators, compare data over time, and analyze data to identify trends and opportunities.
Creating a PivotTable
To create a PivotTable, open the data set you wish to analyze. Then, in the Insert tab of the ribbon, select PivotTable. This will open the Create PivotTable dialog box. Select the data range you want to analyze and choose a location for the PivotTable. You can also choose to add the PivotTable to an existing worksheet or a new worksheet. Click OK to create the PivotTable.
To create a PivotTable from this data range, do the following:
1. Select the data range.
2. Go to the Insert tab and click on the PivotTable button.
3. In the Create PivotTable dialog box, select the range where the data is located and the location where you want to place the PivotTable.
4. Click OK.
5. In the PivotTable Field List, select the fields you want to use in the PivotTable.
6. Drag and drop the fields into the appropriate areas, such as row labels, column labels, values, or filters.
7. Adjust any other settings as needed.
8. Click OK to create the PivotTable.
Steps to create a PivotTable form either a Range or Table.
1. Select the range or Table that you want to create a PivotTable from.
2. Go to the Insert tab and select PivotTable from the Tables group.
3. Select either New Worksheet or Existing Worksheet as the location for your PivotTable, then click OK.
4. In the Create PivotTable dialog box, ensure that the range or Table you selected is chosen as the data source.
5. Click OK to create the PivotTable.
6. The PivotTable Field List will appear on the right side of the worksheet.
7. Drag fields from the Field List into the PivotTable areas, such as Rows, Columns, Values, and Filters, to customize the PivotTable.
8. You can also apply filters or sort the data in the PivotTable.
9. When you are finished, click the PivotTable Analyze tab and select Refresh All to update the data in the PivotTable.
Filtering Data in PivotTable
Filtering data in a PivotTable can be done by selecting the drop-down arrow next to a particular field. This will open a menu with a list of all the available options for that field. Users can then choose to filter by a specific value, multiple values, or all values. If a user wants to filter by a range of values, they can click the Custom Filter option which will open a dialog box for specifying the range of values. Additionally, users can choose to filter by criteria such as Top 10, Above Average, and Below Average.
There are several ways to filter data in a PivotTable −
- Filtering using Report Filters.
- Filtering using Slicers.
- Filtering data manually.
- Filtering using Label Filters.
- Filtering using Value Filters.
- Filtering using Date Filters.
- Filtering using Top 10 Filter.
- Filtering using Timeline.
Using Slicers in PivotTable
Slicers can be used to filter data within a pivot table in order to view only certain data that meets certain criteria. They can be used to filter data by category, date range, or other criteria. To use a slicer, simply click on the slicer icon in the top right corner of the pivot table and select the criteria that you wish to filter by. Once the slicer is applied, the pivot table will only show data that meets the criteria specified in the slicer.
Power PivotTables & Power PivotCharts
Power PivotTables and Power PivotCharts are Microsoft Excel tools that allow users to work with large data sets, create advanced data visualizations, and quickly analyze data. Power PivotTables allow users to create tables with multiple columns and rows that can be filtered and sorted to quickly find specific information. Power PivotCharts make it easy to create visual representations of data such as line graphs, bar graphs, and pie charts. Both tools are great for businesses and organizations of all sizes and can be used to create powerful insights from data.
Uses of Power Pivot
1. Data Consolidation: Power Pivot can be used to consolidate data from multiple sources and create a single view of the data. This helps users to have a single view of their business data and makes it easier to analyze.
2. Data Visualization: Power Pivot can also be used to create powerful data visualizations such as charts, tables, and graphs. This helps users to better understand the data and make better decisions.
3. Data Analysis: Power Pivot can also be used to perform advanced data analysis such as predictive analytics, trend analysis, and forecasting. This helps users to gain valuable insights from the data and make more informed decisions.
4. Automation: Power Pivot can be used to automate certain processes such as data cleaning, data transformation, and data integration. This helps users to save time and effort when dealing with large datasets.
Differences between PivotTable and Power PivotTable
PivotTable:
1. PivotTable is a tool used to summarize and analyze large data sets and to create meaningful reports.
2. It is used to analyze data stored in a standard relational database.
3. It is used to create simple calculations such as sums, averages, and counts.
4. It is used to quickly summarize large amounts of data in a compact and easy-to-understand format.
Power PivotTable
1. Power PivotTable is a more advanced version of the PivotTable that allows for more complex calculations and analysis.
2. It is used to analyze data stored in a multidimensional database or in an Excel workbook.
3. It is used to create complex calculations such as financial formulas, statistical analysis, and predictive analytics.
4. It is used to quickly analyze and explore large amounts of data in a compact and easy-to-understand format.
Creating a Power PivotTable
Power PivotCharts are a type of chart that is used to visualize data in a more interactive way. They allow users to explore and analyze data more easily than with a traditional chart. Power PivotCharts are created by connecting a data source (such as an Excel spreadsheet or an Access database) to a PivotTable in Excel. This allows users to select specific data points to be used in the chart and to customize the layout of the chart. Once the chart is created, users can use the chart to examine trends, compare data points, and create visualizations.
1. Open Microsoft Excel and click the “Insert” tab.
2. Select the “Power Pivot” tab from the ribbon.
3. Click the “Create” button in the “Power Pivot” tab.
4. Select the data source you would like to use for your Power PivotTable.
5. Select the columns of data you would like to include in your Power PivotTable.
6. Click the “Create” button to generate your Power PivotTable.
7. Customize the Power PivotTable by selecting different options from the ribbon.
8. Click the “Save” button to save your Power PivotTable.
Table and Chart Combinations
Table and chart combinations can be used to display data and information in a visually appealing and easy to understand way. Tables are often used to present quantitative data, while charts are used to present qualitative data. They can be used together to provide an overview of the data in an organized way. For example, a table can be used to present the numbers and a chart can be used to illustrate the trends and patterns in the data. This can make the data easier to understand and interpret. Tables and charts can also be used together to compare different sets of data, compare different categories, or show the relationships between different variables.
Hierarchies in Power Pivot
In Power Pivot, hierarchies are used to make data easier to navigate and analyze. They allow users to drill down into the data by creating relationships between different fields. For example, a hierarchy might be created from a date field to show the month, quarter, and year of the data. This makes it easier for users to see the trends in their data at different levels of granularity. Hierarchies can also be used to group related data together, such as customer names or product categories. This makes it easier to understand how different items are related and how they interact with each other.
Calculations Using Hierarchy in Power PivotTables
Power Pivot tables are a powerful feature of Microsoft Excel that allow for data analysis and calculations. Hierarchy in Power Pivot tables allows users to easily drill down into data, making it easier to understand and analyze. Hierarchy can be used to perform calculations using multiple levels of data, such as calculating the average of sales across all regions, or the sum of sales for a particular region. Hierarchy can also be used to aggregate data from more than one table, making it easier to analyze data from multiple sources. Hierarchy can be used to compare data across different time periods and to create powerful visualizations. Hierarchy can also be used to group data into categories and to apply filters to data sets. The power of hierarchy in Power Pivot tables makes it an incredibly useful tool for data analysis.
Drilling Up and Drilling Down a Hierarchy
Drilling up and drilling down a hierarchy allows users to explore data from higher-level categories to lower-level categories and vice versa. This provides an efficient way for users to find the data they need by allowing them to move between levels of detail. For example, a company may have a hierarchy that shows the sales of its products across different regions. By drilling up, users can see the total sales of a product across all regions, while by drilling down they can see the individual sales of the product in each region. This allows users to easily identify trends and patterns in the data.
Using a Common Slicer in Power PivotTables and Power PivotCharts.
Using a common slicer in Power PivotTables and Power PivotCharts is a great way to make it easier for viewers to quickly filter and compare values in the data. Slicers are graphical user interface objects that enable users to quickly filter the data in a Power PivotTable or Power PivotChart.
To add a slicer to a Power PivotTable or Power PivotChart, simply click on the “Slicer” button on the ribbon and select the field that you want to use as a slicer. You can then use the slicer to filter the data in the table or chart. For example, if you have a Power PivotTable of sales data, you can use a slicer to quickly filter the data by a particular product or time period.
When adding a slicer to a Power PivotChart, you can also configure additional settings such as the slicer size, style, and position. This can be done by selecting the “Slicer Settings” button in the ribbon.
By using a common slicer in Power PivotTables and Power PivotCharts, viewers can quickly and easily filter and compare data. This can help to make it easier to identify trends and patterns in the data and make better decisions.
Aesthetic Reports for Dashboards
Aesthetic reports can be used to create visually appealing and informative dashboards. Reports should be designed to be clear and easy to understand, with information presented in a way that is visually appealing and easily digestible. Reports should include charts and graphs that help to provide a better understanding of the data and make it easier to identify trends and draw conclusions. Reports should also include key metrics and provide insights into how those metrics are changing over time. In addition, they should include any actionable insights or recommendations derived from the data. Finally, reports should be designed to be interactive, allowing users to drill down into the data for more specific information.
Excel Dashboards – Power View Reports
Excel Dashboards – Power View Reports is a powerful report-building tool that can be used to create interactive dashboards and reports. Power View Reports is a feature of Microsoft Excel that allows users to create interactive visuals and data insights. Power View Reports combines data from multiple sources, including Excel, databases, and other external sources, to create visually appealing, interactive, and dynamic reports. It also provides powerful data exploration and visualization capabilities. Power View Reports can also be used to create interactive maps, charts, and tables. With Power View Reports, users can quickly and easily create interactive dashboards and reports that can be used to analyze data and gain insights into trends.
Power View Visualizations
Power View Visualizations are interactive data visualizations that allow users to explore and analyze data in a visually compelling way. They can be used to create charts, graphs, maps, tables, and more. Power View Visualizations can be used to uncover trends and insights, or to showcase data in a unique and engaging way. They are an excellent tool for data analysis, exploration, and storytelling.
Table visualization
Table visualizations are used to display information in a tabular format. This format allows for easy comparison of data points across different categories. Examples of table visualizations include pie charts, line graphs, bar graphs, scatter plots, and more. Tables can also be used to display data in a more visually appealing way, such as using color-coding to highlight certain categories. Additionally, tables can be used to filter and sort data to help uncover patterns and trends in the data set.
Combination of Power View Visualizations
A combination of Power View visualizations could include a pie chart, a column chart, and a heat map. The pie chart could display the percentage of sales for each product in a company. The column chart could display the sales totals in different geographical regions. The heat map could display the sales of each product in each geographical region.
Interactive Nature of Charts in Power View Visualizations
Power View visualizations are interactive in nature, allowing users to explore and analyze data quickly and easily. By using interactivity, users can quickly navigate to the data they need, filter out irrelevant information, and add context to their data. Additionally, charts in Power View provide an interactive way to explore data by allowing users to drill down into the data, view data in different chart types, and add annotations. This makes it easy to quickly gain insights and identify patterns in the data.
Slicers in Power View
Slicers in Power View are interactive visual filters that allow users to quickly filter and view data in a Power View report. They are used to quickly and easily filter data by a single or multiple values. Slicers can be used to filter data on charts, tables, and other visualizations in a Power View report. Slicers can be linked to multiple visuals, allowing users to quickly filter data across the entire report.
Tiles in Power View
Power View tiles are special visuals that allow users to quickly analyze data and display it in an interactive, dynamic format. Tiles provide a quick view of summary information from a table or chart and can be used to highlight key trends and insights. Tiles are useful for quickly exploring and analyzing data from multiple sources in one view. For example, a tile chart can be used to compare sales figures from different regions or product categories. Power View tiles can be added to a dashboard to provide an overview of key performance metrics.
Tiles in Table visualization
Tiles in a table visualization refer to the cells within the table that contain the data. The tiles are typically arranged in a grid and can be colored or shaded to indicate certain trends or patterns in the data. Tiles may also contain labels or other information related to the data.
Tiles in Matrix visualization
A matrix tiles visualization is a graphical representation of a set of data in the form of a grid. It consists of colored tiles arranged in a matrix, with each tile representing a different value or category. Each tile is typically labeled with a number or other value, and the overall pattern of the tiles can help to illustrate patterns or relationships in the data set. Matrix tiles visualizations can be used to quickly identify trends, outliers, and other patterns in large datasets.
Tiles in Card visualization
Tiles in card visualization can be used to present data in a concise, easy-to-understand way. For example, they can be used to display a series of statistics or metrics within a single card. They can also be used to display a comparison between two or more data points, such as sales figures for different regions. Tiles can also be used to summarize a complex data set, allowing users to quickly get a sense of trends and patterns.
Tiles in Stacked Bar Chart visualization
The tiles in a stacked bar chart visualization can represent different categories or groups within the data being displayed. The height of each tile can represent the magnitude of a particular data point within that category. Additionally, color can be used to differentiate between the different categories.
Tiles in Map visualization
Map tiles are the images used to create a map visualization. They are typically small, square images that are arranged in a grid-like pattern to create a larger map image. Map tiles are usually provided by a mapping service such as Google Maps or Bing Maps and can be used to create a variety of map visualizations, such as interactive maps, heat maps, and 3D maps.
Power View Reports
Power View is a business intelligence (BI) tool used to create interactive data visualizations and reports. It is part of the Microsoft Office suite and is included in the Excel, SharePoint, and SQL Server data tools. Power View provides users with an easy-to-use interface to create visually appealing and interactive reports. Power View reports can be used to analyze data, spot trends, identify opportunities, and make decisions. Additionally, Power View reports can be published and shared with other users.
Key Performance Indicators
1. Customer retention rate: This metric measures the percentage of customers that continue to use a company’s services or products over a given period of time
2. Revenue per customer: This is a key performance indicator (KPI) that calculates the average amount of revenue generated per customer.
3. Cost per acquisition: This KPI measures the cost of acquiring a new customer. It is often used to measure the efficiency of a company’s marketing and sales activities.
4. Average order value: This KPI is used to measure the average amount of money spent on each customer order.
5. Conversion rate: This is a key indicator of the effectiveness of a company’s website or marketing campaigns. It measures the percentage of visitors that take a desired action, such as making a purchase or signing up for a newsletter.
Components of a KPI
- Base Value
- Target Value / Goal
- Status
Base Value in KPI
Base value in KPI is a set of values that serve as the basis for measuring the performance of a given KPI. It is used to compare actual KPI performance to the goal or target set for the KPI. The base value can be used to track changes in performance over time or to benchmark performance against other similar organizations or industries.
Target Value of a KPI
The target value of a KPI depends on the type of KPI, its purpose, and the specific organization and industry in which it is used. For example, a KPI such as customer satisfaction might have a target value of 90%, while a KPI such as sales revenue might have a target value of $1 million. It is important to set realistic goals for KPIs so that they can be used as effective measurement tools for organizational performance.
Status Thresholds and Status of a KPI
The thresholds of a Key Performance Indicator (KPI) are determined by the business objectives that the KPI is intended to measure. For example, if a KPI is set to measure customer satisfaction, the thresholds may be set to indicate a satisfactory level of customer satisfaction (e.g., 80% customer satisfaction rate). Once the thresholds are set, the status of a KPI can be determined by examining the current performance data against the predetermined thresholds. If the performance data meets or exceeds the threshold, the KPI is considered to be in a “good” status. If the performance data falls below the threshold, the KPI is considered to be in a “poor” status.
Defining KPIs in Excel
KPIs, or Key Performance Indicators, are metrics used to measure performance. Excel is a great tool for tracking and analyzing KPIs. To define KPIs in Excel, you need to first decide what metrics you want to track and then create a spreadsheet with columns for each metric. You can then enter values into the columns to track progress. You can also create graphs and charts to visualize the data and make it easier to understand. Additionally, you can use Excel formulas to calculate KPIs based on other metrics.
Visualizing KPIs with Bullet Charts
Bullet charts are a great way to visualize Key Performance Indicators (KPIs). They are effective at showing the performance of a company compared to a pre-set goal. Bullet charts are also useful to compare KPIs against each other. The primary components of a bullet chart include the target, the performance level, and the ranges. The target is usually set at the top of the chart and is represented by a vertical line. The performance level is represented by a horizontal line. The ranges are typically represented by bars that stretch from the left to the right of the chart. By using bullet charts, businesses can easily compare their performance against their goals and other KPIs.
Visualizing KPIs with Power View
KPIs, or Key Performance Indicators, are metrics used to measure and monitor the success of a business. Power View is a powerful data visualization tool that can be used to visualize KPIs. With Power View, you can create interactive charts and graphs to quickly and easily visualize data. You can also use filters and slicers to filter data and drill down into specific KPIs. Power View can be used to create dynamic visuals that can help businesses quickly identify trends and gain insights into their performance.
Excel Dashboards – Build a Dashboard
Excel dashboards are a great way to visualize data and track metrics. They can be used to present data in an easy-to-understand format and help you measure performance, identify trends, and make decisions. Building an Excel dashboard can be a daunting task, but with the right tools and resources, it can be done quickly and easily.
The first step in building an Excel dashboard is to set up the data. This includes organizing the data into tables, setting up formulas, and creating charts or graphs. Once the data is set up, the next step is to create the dashboard itself. This involves creating a layout, adding visuals such as charts, graphs, and tables, and setting up interactive elements like filters and slicers. This will help create an easy-to-understand dashboard that can be used to monitor performance and make decisions
Once the dashboard is created, it’s important to keep it up-to-date. This can be done by setting up automated data refreshes and scheduling periodic updates. This will help ensure that the dashboard is always up-to-date and reflects the most recent data.
Creating an Excel dashboard can be a complex task, but it can be a great way to visualize data and track performance. With the right tools and resources, it can be done quickly and easily.
Initial Preparation
Before you begin installing the pipe, you should ensure that you have all of the necessary tools and supplies. Make sure you have a hacksaw, pipe cutter, tape measure, screwdriver, pipe wrench, pliers, and a level. Additionally, you should have enough PVC pipe and fittings to complete your project. Finally, you should have a good understanding of the project you are attempting to complete. This will help you plan accordingly and avoid any mistakes.
Why do you need the dashboard?
The dashboard is a tool that allows users to quickly view and analyze their data. It provides an organized way to view data, such as sales, customer usage, operational performance, and more, in one place. It enables users to visually understand their data, better identify trends, and make better decisions. Dashboards can also be used to monitor KPIs, compare results over different time periods, identify opportunities for improvement, and more.
What purpose the dashboard will serve?
The purpose of a dashboard is to provide an easy-to-understand overview of key metrics and data points in order to help users make informed decisions. It can be used to display complex information in a visually appealing and interactive way, enabling users to gain insights and identify trends quickly.
What is the source of data?
The source of data can refer to the origin of the data, such as a data set, an online database, or a physical data source, such as a survey or a scientific experiment. It can also refer to the person or organization responsible for collecting, managing, and distributing the data.
Who is the audience for the dashboard?
The audience for the dashboard could be any stakeholders or decision makers who need to make decisions based on the data presented. It could also be used by data analysts, data scientists, and other users who need to quickly view and analyze data.
Does the dashboard need to be static or dynamic?
The answer to this question depends on the specific needs of the user. If the user needs to keep track of constantly changing data, or if data needs to be manipulated in real time, then a dynamic dashboard is probably the best option. However, if the user is looking for a more visual representation of data that does not need to be frequently updated, a static dashboard may be more appropriate.
Does the dashboard need to be just a display or is it to be interactive?
The dashboard can be either interactive or just a display. It all depends on the requirements and needs of the user. Interactive dashboards allow users to manipulate data and visualizations, filter data, and drill down into details. Display dashboards are designed to show users a snapshot of the data without any manipulation or interaction.
Organize the Data Source for the Excel Dashboard
1. Data sources:
• Internal databases
• External data sources
• Online surveys
• Social media feeds
• Web analytics
• Public data repositories
2. Data preparation:
• Data cleaning
• Data integration
• Data transformation
• Data analysis
• Data validation
3. Design:
• Data visualization
• Dashboard design
• Report design
• User interface design
• Interactivity design
4. Development:
• Dashboard creation
• Report creation
• Interactivity development
• Data connectivity
• User authentication
Set Up the Excel Dashboard Workbook
1. Create a new Excel workbook and save it
2. Set up the data to be used in the dashboard. Start by creating a table of data and labeling each column with the appropriate headings.
3. Insert a chart for each of the data points. Choose the chart type that best represents the data
4. Format the chart to make it visually appealing and easy to interpret.
5. Create a dashboard layout by adding a title, labels, and other elements to the workbook.
6. Insert visual elements such as tables, graphs, and charts to make the dashboard more informative and appealing.
7. Add data filters so the user can customize the dashboard to their preferences.
8. Create a summary page that displays key metrics and insights.
9. Test the dashboard to ensure everything is working properly.
10. Finalize the dashboard and save it.
Prepare the Data for the Excel Dashboard
1. Gather all the relevant data that is needed to create the Excel Dashboard.
2. Select the appropriate data visualizations for each data set.
3. Enter the data into the spreadsheet and format it.
4. Create formulas to calculate any necessary metrics.
5. Format the spreadsheet to make it easier to read and interpret.
6. Create charts and graphs to visually represent the data.
7. Add any additional features to the dashboard, such as slicers, filters, and drill-down capabilities.
8. Test the dashboard to ensure that it works as expected.
Select the Dashboard Components
1. Widgets
2. Reports
3. Charts
4. Filters
5. Tables
6. Maps
Identify Parts of the Dashboard for Highlighting
1. Menu: This is the main navigation bar for the dashboard, typically located at the top of the page.
2. Search Bar: This allows users to quickly search for specific data or information within the dashboard.
3. Filters: These allow users to filter the data displayed on the dashboard to view specific data sets.
4. Charts/Graphs: These provide a visual representation of the data contained within the dashboard.
5. Table/Grid: This displays the data contained within the dashboard in a tabular format.
6. Widgets/Cards: These provide quick summaries of data contained within the dashboard in an easy-to-read format.
Build the Dashboard
The first step in building a dashboard is to decide what data to display and how to display it. Depending on the purpose of the dashboard, the data displayed may include metrics such as sales, profits, customer satisfaction ratings, website traffic, and more.
It is also important to consider how to visually represent the data. Options for visual representation include charts, graphs, tables, and infographics.
After deciding what data to display and how to visualize it, the next step is to choose a platform to build the dashboard. Many popular tools offer both free and paid versions, such as Tableau, Power BI, and QlikView.
Once the platform is chosen, the dashboard can be built. This includes adding data sources, creating visualizations, and setting up a dashboard layout. After the dashboard is built, it is important to regularly monitor and update the dashboard with new data.
Finally, it is important to ensure that the dashboard is easy to use and understand. This includes making sure the dashboard is designed with the user in mind, providing clear labels and instructions, and testing the dashboard to ensure it works correctly.
Using Excel Camera
The Excel Camera feature allows you to take a snapshot of a range of cells in an Excel spreadsheet and paste it into another document or application. To use the Excel Camera, select the cells you want to capture and click on the Camera icon in the ribbon, located in the Home tab in the Clipboard group. Select the Insert or Paste Options button and choose the desired format. The captured image will be inserted or pasted into the document.
Date and Time Stamp on Excel Dashboard
The date and time stamp on an Excel Dashboard is typically done using the =NOW() function. This will return the current date and time in the cell. You can also use other functions such as =TODAY() to return just the date, or =TIME() to return just the time.
Test, Sample, and Enhance the Dashboard
Test:
To test the dashboard, we will create a test plan that includes logging into the dashboard, navigating through the menus, and testing the various functions and features. We will also test the accuracy of the data presented in the dashboard, and ensure that all data points are correctly represented.
Sample:
To sample the dashboard, we will select a set of randomly chosen users to access the dashboard and record their interactions with the dashboard. We will also sample the data presented in the dashboard to ensure that it accurately reflects the data in the source system.
Enhance:
To enhance the dashboard, we will add interactive features such as drill-down analysis, interactive reports, and data visualization. We will also add features such as sorting and filtering, which will allow users to quickly find the data they need. Additionally, we will add support for additional data sources, which will allow users to access more comprehensive data sets.
Share the Dashboard
Share the dashboard by clicking the share button on the top right corner of the dashboard. This will open a window with a link that can be copied and shared with others. The link can be shared with anyone who has access to the dashboard.
Tips for Effective Excel Dashboards
1. Keep It Simple
Design your Excel dashboard so that it is easy to interpret and understand. This means avoiding too many visual elements that can be confusing and overwhelming. Make sure the dashboard is properly formatted and that each chart, graph, or table is clearly labeled and organized.
2. Use Data Visualizations
Data visualizations such as charts and graphs are an effective way to communicate data in a meaningful and easy to interpret format. Visual elements can help to highlight key insights and relationships in the data.
3. Leverage Filters
Filters can be used to allow users to customize the data displayed in the dashboard. This can be used to better focus on specific data points or to compare data between different time periods.
4. Utilize Conditional Formatting
Conditional formatting can be used to quickly highlight important insights from the data. For example, you can use conditional formatting to highlight cells that are above or below certain thresholds.
5. Make Sure It’s Updated
Make sure your Excel dashboard is kept up to date with the latest data. This will ensure that users are looking at accurate and relevant information.
Excel Dashboards – Examples
1. Sales Performance Dashboard: A sales performance dashboard uses data from past sales, inventory, and customer data to show current and forecasted performance. It can be used to track sales goals and identify areas for improvement.
2. Financial Dashboard: A financial dashboard displays financial data such as income, expenses, cash flow, and profit and loss. It can be used to analyze financial performance, compare budget to actuals, and identify trends.
3. Marketing Dashboard: A marketing dashboard allows marketers to review and analyze performance of campaigns and strategies. It can be used to track key performance indicators (KPIs) such as impressions, click-throughs, and conversions
4. Operations Dashboard: An operations dashboard can be used to measure and monitor operational performance. It can be used to track metrics such as on-time delivery, customer service ratings, and cost per unit.
5. HR Dashboard: An HR dashboard is a visual representation of employee data such as headcount, turnover, and workforce diversity. It can be used to identify areas for improvement and track progress against HR initiatives.
Example ─ Executive Dashboard
An executive dashboard allows executives to quickly assess their organization’s performance on key metrics. It should provide high-level summaries of data from various sources and present it in a visually appealing and easy-to-understand format. The dashboard should include features such as interactive charts, real-time alerts, and customizable views. It should also be accessible on multiple devices, allowing executives to access the data they need wherever they are.
Department-wise Operational KPIs
1. Sales and Revenue: Total sales, sales growth rate, gross profit margin, total revenue, revenue growth rate
2. Customer Service: Customer satisfaction score, customer retention rate, customer acquisition rate
3. Human Resources: Employee satisfaction score, employee retention rate, employee turnover rate
4. Finance: Return on investment, debt to equity ratio, operating margi
5. Marketing: Conversion rate, lead generation rate, customer lifetime valu
6. Operations: On-time delivery rate, cost per unit, production efficiency
7. Technology: System uptime, cost per transaction, data accuracy rate
Excel Dashboard Structure
An Excel dashboard is a data visualization tool that can be used to display a variety of data sets in a concise and visually appealing way. A typical dashboard contains a series of charts, graphs, and tables that provide a comprehensive overview of the data. Dashboards may also include interactive features, such as filters and drill-downs, which allow users to customize the views they create. Dashboards are typically organized into sections, each of which contains data related to a specific goal or area of focus. For example, a sales dashboard may have sections for sales performance, customer trends, and product analysis.
Example – Project Management Dashboard
A project management dashboard is a visual representation of the progress of a project. It provides an overview of the project status, tasks, milestones, and timelines. It also allows project managers to monitor the progress of each task and to identify any potential risks or delays. The dashboard can be used to track project costs, resource allocation, and other critical information. The dashboard can also be used to communicate project updates to stakeholders, ensuring that everyone is aware of progress and any issues that may arise.
Example – Sales Management Dashboard
The Sales Management Dashboard is an interactive visualization tool that helps sales managers better understand and manage their sales teams. It provides detailed insights into sales performance, including sales targets, pipelines, and team performance. The dashboard includes easy-to-read visuals such as tables, charts, and graphs that allow users to quickly identify areas of strength and weaknesses. It also provides detailed analytics to help managers identify opportunities for improvement and track progress. Additionally, the dashboard includes features such as notifications, alerts, and custom reporting to ensure that the user is kept up-to-date on the latest sales data.
Example ─ Training Management Dashboard
The Training Management Dashboard is a comprehensive tool designed to help businesses manage their employee training programs. It provides an easy-to-use interface to track training progress, create courses, assign courses to employees, and generate reports. It also allows administrators to set up notifications for upcoming deadlines and track completion rates. The dashboard also provides insights into employee training performance, enabling businesses to optimize their training programs.
Example ─ Service Management / Support Dashboard
The Service Management/Support Dashboard will provide an overview of all customer service requests, tickets, and support inquiries that have been submitted. The dashboard will provide a comprehensive view of all customer service activity, allowing managers and support staff to quickly identify any potential issues or trends.
The dashboard will include sections for open tickets, closed tickets, unresolved issues, and customer feedback. It will also feature real-time analytics, allowing users to quickly identify any areas of concern and take the necessary steps to address them. Additionally, the dashboard will allow users to generate reports, track ticket response times, and quickly identify any areas of improvement.