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Using Excel to Visualise and Explore Data

Using Excel to Visualise and Explore Data

Excel is a simple yet powerful tool that you can use to perform tasks like storing and analysing data. You can use it not only for data analysis and visualisation but also for creating Salary Slip Format in Excel. For those who want to become proficient in using Excel, Microsoft offers an Excel certification program called Microsoft Excel Expert MO201, which tests the user’s advanced knowledge and skills in using Excel for data analysis and visualisation. Obtaining this certification can demonstrate to employers or clients that one has a high level of proficiency in using Excel and can perform complex tasks efficiently.

Even four decades since it first launched, Excel remains the go-to tool for many organisations. Learning Excel can make you stand out from the competition. It is a time-tested tool, and the demand for experts is not going away anytime soon. You can use Excel to explore and Visualise data with its powerful features. Continue reading to find out more!


Table of Contents

  1. Getting started with Excel
  2. Formatting Data in Excel
  3. Analysing Data in Excel
  4. Visualising Data in Excel
  5. Advanced Excel techniques for data analysis and Visualisation
  6. Conclusion


Getting started with Excel

You will learn about Excel’s basic functions like SUM, AVERAGE, MAX, MIN, and COUNT here. Finally, the article explains how to enter data into Excel by clicking on a cell and typing, emphasising the importance of organising data into rows and columns. It also describes how to select cells, rows, and columns.

SUM: You can use this Excel function to add a range of cells.

AVERAGE: You can use this Excel function to calculate the average of a range of cells.

COUNT: It counts the number of cells in a range that contain numerical data.

MAX: This function finds the maximum value in a range of cells.

MIN: This function finds the minimum value in a range of cells.

IF: This function allows you to specify a condition. Then it returns one value if the condition is true and a different value if it is false.

VLOOKUP: This function allows you to search for a specific value in a table and returns a corresponding value from another column in the same row.


Formatting Data in Excel

The section on Formatting Data in Excel explains that formatting data in Excel involves changing the appearance of cells to make them easier to read or to convey specific information. Excel offers several formatting options like number, font, alignment, border, cell fill, and conditional formatting. Users can use the formatting options in the ribbon or right-click on a cell and select the “Format Cells” option. Some tips and tricks for formatting data in Excel include using consistent formatting, highlighting essential data using conditional formatting, using borders and shading to group data, using cell styles to apply the format quickly, and using keyboard shortcuts to save time.


Analysing Data in Excel

Here we will cover Excel’s built-in functions for data analysis, different types of analysis that can be performed in Excel, and tips and tricks for analysing data in Excel. Excel’s built-in functions for data analysis include SUM, AVERAGE, COUNT, MAX, MIN, IF, and VLOOKUP. 

Different types of analysis that can be performed in Excel include sorting and filtering, pivot tables, charts and graphs, and data validation. Tips and tricks for analysing data in Excel include:

  • Using PivotTables to summarise and analyse data quickly.
  • Using charts and graphs to visualise data.
  • Using conditional formatting to highlight important data.


Visualising Data in Excel

Visualising Data in Excel is all about creating charts and graphs in Excel effectively. Select the data and choose the chart type from the available options to create a chart or graph. Excel offers charts and graphs, including column, bar, line, pie, area, and scatter charts. 

When creating charts and graphs in Excel, choosing the right type of chart, keeping it simple, using colours and fonts effectively, labelling axes and including a title, and using data labels and annotations are very important. By following these tips and tricks, users can create clear, concise, and informative visual representations of their data.

Also Read: How to Fix Unable to Print from QuickBooks Error


Advanced Excel techniques for data analysis and Visualisation

Excel offers a range of advanced data analysis and visualisation techniques that can help you gain even deeper insights from your data. Some of these techniques include:

PivotTables: A powerful tool for summarising and analysing large sets of data. PivotTables allow you to group data by categories, calculate totals and averages, and perform other calculations.

PivotCharts: A type of chart that is based on a Pivot Table. PivotCharts allow you to visualise your data differently, such as by showing trends over time or comparing data across categories.

Advanced charting techniques: Excel offers a range of advanced charting techniques that can help you create more complex and dynamic charts and graphs. These include techniques such as sparklines, combo charts, and chart templates.

Data analysis add-ins: Excel offers a range of add-ins that can help you perform more advanced data analysis tasks, such as regression analysis, forecasting, and data mining.



Excel is a versatile and powerful data analysis and visualisation tool, offering benefits such as a user-friendly interface, quick and efficient data analysis, and advanced charting and visualisation tools. Excel remains reliable and powerful despite other specialised tools for various data-related tasks. So learning Excel can be extremely useful for your career.