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Philip Saidi
Philip Saidi

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Getting Started with Excel for Data Analytics: From Basics to Data Cleaning.

Overview

What is data and data analysis

Data is information that helps people or business make decisions.

Types of data

  • Text (Abcde)
  • Numbers (12348.0)
  • Dates (12/3/1993, 12-5-2026)
  • Currency ($45.5, KES200.5)

Data analysis

The process of making data to a useful information using different tools such as Excel.
It entails processes like

  • Data formatting
  • Data validation
  • Data cleaning
  • Data analysis
  • Data visualization

What is Excel

Excel is a spreadsheet application used to create, view, edit , clean, analyze and visualize data.

Excel use cases

  • Create data or record data for reference.
  • To record data /data entry.
  • Data analysis and give insights.
  • Business intelligence on light weight.
  • Project management.
  • Cleaning data.
  • Create beautiful visual representation of data.

Creating data with Excel for Students grades

  • Open excel application in your pc
  • Open Blank workbook name it Students grades
  • Save by clicking File then Save as.
  • Choose a location to save and name the file
  • Click on cell A1 and name it FIRSTNAME
  • Press TAB to move to the next cell
  • Name it LASTNAME, next QUIZ 1, QUIZ 2, QUIZ 3, and AVERAGE as shown below
  • Autofit the columns by Clicking Home tab -> Format -> Autofit column -> OK.
  • Enter the data as shown in the screenshot and save.

Introduction to Excel Cleaning data.

The first step to data cleaning:

Sample data errors

  • Wrong date format
  • Incorrect data types
  • Blank cells/ missing values
  • Duplicates
  • Wrong format of data types
  • Missing values
  • Incorrect information

Formatting data

You can format numbers, texts, rows and columns

Number formatting

Numbers always align to the right of the cell.
Follow these steps to format numbers to desired data type

  • Select the column you want to format
  • Click Home tab/ribbon and find Number group
  • A drop down menu will occur, choose which number format you want and click OK.

Text Formatting

Text are a string or words like John, Lorry, HR.
Text are aligned to the left of the cell
Follow these steps to format texts

  • Select the text you want
  • Click Home tab
  • Choose to color or make it bold in the font section
  • You can change the background color and click OK.
  • Save your work.

Row and Column formatting.

Follow these steps

  • Select an entire row/column example ROW 1
  • Select Home tab and Click B to make it Bold.

Data Cleaning Using Excel

Data cleaning is the art of formatting and correcting data so that it can be correct and accurate for use in data analysis.

For this We will use a random data set from the internet called kenya-school-grades-dirty.
Start with removing duplicates

  • Select all data
  • Go to data tab
  • Click remove duplicates.
  • Select the column you want
  • Click OK.

In the data set names are not in proper case and have spacing.
We rectify this by:

  • Selecting the columns Student Name.
  • Right click and insert a new column
  • In the empty column write the formula =TRM(PROPER(B2:B221)) and Enter.
  • This removes any whitespace and capitalize the first letter.
  • Insert another cell and copy the corrected student name and delete the previous one then save.

In the gender it has more than one identifier that is M, f, Female, FEMALE, MALE.
We can correct this by removing the repeating gender by find and replace method.

  • Select the gender column.
  • Select Home tab
  • Find and select -> Replace
  • A dialogue box will pop up
  • Type what you what to find and replace all it with the correct gender.

Date format
In the last column the date format is inconsistent

  • Select column you want to format(Date recorded)
  • Go to Home tab
  • Then Click Number group
  • Scroll to date
  • Select the date format that is correct.

Data validation

Restricting users on what is allowed to be entered in a given column.
Follow these steps:

  • Select column you want to validate.
  • Click on data ribbon
  • Data validation group
  • Choose list
  • Type the data that you want to be allowed in that column
  • Click OK.

CONCLUSION

Excel is important in both data analysis, cleaning and visualization.

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