Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.Learn Learning Statistical Charting in Excel | Excel Data Visualization and Automation
Data Analysis with Excel

bookLearning Statistical Charting in Excel

In addition to the general purpose charts discussed in the previous chapter, there are also statistical charts that do more than just display raw data β€” they calculate statistical insights.

These charts are crucial for visualizing data distributions and uncovering underlying patterns, which are key for thorough data analysis.

By understanding these visualizations, you can gain deeper insights into dataset variability, central tendency, and outliers.

Task

Now, let's create some visualizations:

  • Plot a histogram for the Marketing_Expense column.
  • Generate a box plot using the Region and Units_Sold columns. Remember, you can select multiple columns by holding the Ctrl key while clicking.
question mark

Which type of chart would you use to compare median values across different categories?

Select the correct answer

Everything was clear?

How can we improve it?

Thanks for your feedback!

SectionΒ 3. ChapterΒ 2

Ask AI

expand

Ask AI

ChatGPT

Ask anything or try one of the suggested questions to begin our chat

Suggested prompts:

Can you explain the difference between a histogram and a box plot?

What insights can I gain from the histogram of Marketing_Expense?

How do I interpret the box plot for Region and Units_Sold?

Awesome!

Completion rate improved to 6.67

bookLearning Statistical Charting in Excel

Swipe to show menu

In addition to the general purpose charts discussed in the previous chapter, there are also statistical charts that do more than just display raw data β€” they calculate statistical insights.

These charts are crucial for visualizing data distributions and uncovering underlying patterns, which are key for thorough data analysis.

By understanding these visualizations, you can gain deeper insights into dataset variability, central tendency, and outliers.

Task

Now, let's create some visualizations:

  • Plot a histogram for the Marketing_Expense column.
  • Generate a box plot using the Region and Units_Sold columns. Remember, you can select multiple columns by holding the Ctrl key while clicking.
question mark

Which type of chart would you use to compare median values across different categories?

Select the correct answer

Everything was clear?

How can we improve it?

Thanks for your feedback!

SectionΒ 3. ChapterΒ 2
some-alt