Menu
×
   ❮   
HTML CSS JAVASCRIPT SQL PYTHON JAVA PHP HOW TO W3.CSS C C++ C# BOOTSTRAP REACT MYSQL JQUERY EXCEL XML DJANGO NUMPY PANDAS NODEJS R TYPESCRIPT ANGULAR GIT POSTGRESQL MONGODB ASP AI GO KOTLIN SASS VUE DSA GEN AI SCIPY AWS CYBERSECURITY DATA SCIENCE
     ❯   

Excel Tutorial

Excel HOME Excel Introduction Excel Get Started Excel Overview Excel Syntax Excel Ranges Excel Fill Excel Move Cells Excel Add Cells Excel Delete Cells Excel Undo Redo Excel Formulas Excel Relative Reference Excel Absolute Reference Excel Arithmetic Operators Excel Parentheses Excel Functions

Excel Formatting

Excel Formatting Excel Format Painter Excel Format Colors Excel Format Fonts Excel Format Borders Excel Format Numbers Excel Format Grids Excel Format Settings

Excel Data Analysis

Excel Sort Excel Filter Excel Tables Excel Conditional Format Excel Highlight Cell Rules Excel Top Bottom Rules Excel Data Bars Excel Color Scales Excel Icon Sets Excel Manage Rules (CF) Excel Charts

Table Pivot

Table Pivot Intro

Excel Case

Case: Poke Mart Case: Poke Mart, Styling

Excel Functions

AND AVERAGE AVERAGEIF AVERAGEIFS CONCAT COUNT COUNTA COUNTBLANK COUNTIF COUNTIFS IF IFS LEFT LOWER MAX MEDIAN MIN MODE NPV OR RAND RIGHT STDEV.P STDEV.S SUM SUMIF SUMIFS TRIM VLOOKUP XOR

Excel How To

Convert Time to Seconds Difference Between Times NPV (Net Present Value) Remove Duplicates

Excel Examples

Excel Exercises Excel Certificate

Excel References

Excel Keyboard Shortcuts


Excel Stacked Column Charts


Stacked Column Chart

Stacked Column charts are used to highlights the total amount of contribution for each category.

This is done by stacking columns on top of each other.

The charts are used when you have more than one data column.

Example

We want to find out the total number of generation 1 and 2 Pokemons in each of these type 1 categories: "Grass", "Fire", "Water" and "Bug".

You can copy the values to follow along:

Copy Values
  1. Select the range A1:C5

  1. Click on the insert menu, then click on the column menu () and choose Clustered Column () from the drop-down menu

Note: This menu is accessed by expanding the ribbon.

Following the steps above, you will get the following chart:

The chart gives a visual overview for the total number of "Grass", "Fire", "Water" and "Bug" type Pokemons in both generation 1 and 2.

Generation 1 Pokemons are shown in blue and generation 2 Pokemons are shown in orange.

This chart shows that "Water" type Pokemons are the most common and "Fire" type Pokemons are the least common.



100% Stacked Column Chart

100% Stacked Column is used to highlights the proportion of contribution for each data column in a category.

This is done by scaling the total value of each category in a stacked column chart to 100.

The charts are used when you have more than one data column.

Example

We want to find out the proportion of Pokemon types "Grass", "Fire", "Water" and "Bug" in generation 1 and 2.

You can copy the values to follow along:

Copy Values
  1. Select the range A1:C5

  1. Click on the insert menu, then click on the column menu () and choose Clustered Column () from the drop-down menu

Note: This menu is accessed by expanding the ribbon.

Following the steps above, you will get the following chart:

The chart gives a visual overview for the proportion of "Grass", "Fire", "Water" and "Bug" type Pokemons in both generation 1 and 2.

Generation 1 Pokemons are shown in blue and generation 2 Pokemons are shown in orange.

This chart shows that more than half of Pokemons are in generation 1.



×

Contact Sales

If you want to use W3Schools services as an educational institution, team or enterprise, send us an e-mail:
[email protected]

Report Error

If you want to report an error, or if you want to make a suggestion, send us an e-mail:
[email protected]

W3Schools is optimized for learning and training. Examples might be simplified to improve reading and learning. Tutorials, references, and examples are constantly reviewed to avoid errors, but we cannot warrant full correctness of all content. While using W3Schools, you agree to have read and accepted our terms of use, cookie and privacy policy.

Copyright 1999-2024 by Refsnes Data. All Rights Reserved. W3Schools is Powered by W3.CSS.