Editing
Creating An Effective Dashboard Using WPS Spreadsheet
Jump to navigation
Jump to search
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
<br><br><br>Begin with a clean, structured worksheet for your source data<br><br>Clearly name each column with relevant headers: Date, Product, Sales Volume, Units, Region, etc.<br><br>Maintain a tidy dataset without gaps, blanks, or irregular spacing<br><br>Without a structured dataset, your dashboard formulas and charts may fail to update correctly<br><br>If your data changes frequently, consider converting the range into a table by selecting the data and clicking Insert then Table<br><br>This allows formulas and charts to automatically adjust as you add new entries<br><br><br><br>Set up a new worksheet and label it clearly as Dashboard<br><br>Here, you’ll assemble all key metrics into one cohesive view<br><br>First, determine which metrics are most vital for your analysis<br><br>Typical indicators are overall revenue, daily average units, best-selling item, and annual growth rate<br><br>Leverage functions including SUM, AVERAGE, MAX, MIN, and COUNTIF to compute your core metrics<br><br>For example, calculate total sales with =SUM(Sheet1!C2:C100) if column C holds your sales figures<br><br>Display each metric in its own row, with a label like "Total Sales: $125,400" nearby<br><br><br><br>Transform your numbers into engaging charts next<br><br>Select the data range you want to visualize, click Insert, and choose the appropriate chart type<br><br>Use line charts for trends, bar charts for comparisons, and pie charts for part-to-whole relationships<br><br>Place your visuals thoughtfully, avoiding overcrowding by maintaining proper margins<br><br>Customize titles, axis text, and color schemes to suit your branding or preference<br><br>Right-click any chart and choose Format Chart Area to adjust typography and backdrop hues<br><br><br><br>To make your dashboard interactive, consider adding slicers or dropdown lists<br><br>To use slicers, your data must first be converted to a table format<br><br>Navigate to Table Tools > Insert Slicer, then select your filter field like Region or Product<br><br>This allows users to click a button and instantly update all charts and summary numbers to reflect the selected category<br><br>As an alternative to slicers, use Data Validation to create a dropdown list<br><br>Select a cell, go to Data > Data Validation, choose List from the Allow dropdown, and enter your options separated by commas<br><br>Then link this cell to your formulas using functions like INDEX and MATCH to dynamically filter the data behind your charts<br><br><br><br>Add conditional formatting to highlight important values<br><br>As an example, set up a color scale where sales below goal turn red and those above turn green<br><br>Highlight the cells, navigate to Home > Conditional Formatting, and pick an appropriate rule<br><br>The color coding enables users to detect underperformance or standout results without detailed analysis<br><br><br><br>Prioritize usability and clarity in your final design<br><br>Use strong, bold headings, maintain a single font style throughout, and leave adequate padding between elements<br><br>Cluster similar components and include a clear heading or subheading at the top<br><br>Don’t clutter your dashboard; limit it to the five to seven most vital KPIs<br><br>Test the dashboard by updating the source data to make sure all formulas and charts update automatically<br><br>Save your file and share it with others, or set up a scheduled refresh if the data comes from an external source<br><br><br><br>These instructions enable non-technical users to develop a powerful, professional dashboard using only [https://www.wps-wp.com/ wps office下载] Spreadsheet’s native features<br><br>The key is simplicity, clarity, and consistency<br><br>A truly powerful dashboard transforms raw data into actionable insights, guiding decisive action<br><br>
Summary:
Please note that all contributions to BigFile Wiki may be edited, altered, or removed by other contributors. If you do not want your writing to be edited mercilessly, then do not submit it here.
You are also promising us that you wrote this yourself, or copied it from a public domain or similar free resource (see
BigFile Wiki:Copyrights
for details).
Do not submit copyrighted work without permission!
Cancel
Editing help
(opens in new window)
Navigation menu
Personal tools
Not logged in
Talk
Contributions
Create account
Log in
Namespaces
Page
Discussion
English
Views
Read
Edit
View history
More
Search
Navigation
Main page
Recent changes
Random page
Help about MediaWiki
Tools
What links here
Related changes
Special pages
Page information