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Have you ever stared intently at the contents of a spreadsheet only to find that all the numbers seem to look the same? You’re not alone. Tracking your financial progress involves a significant amount of information, especially numerical information, or data. Analyzing all that data in tabular form can be overwhelming, especially when the data changes across months, years, and even decades.
To help you interpret your financial data, spreadsheet programs offer built-in charts (also called graphs) so you can make comparisons across quantities. It’s likely you’ve seen charts before in your math and statistics courses.
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Categorical data is information that can be grouped into several different categories. In economics and finance, the data points are often quantitative, usually expressed as dollars. The categories might be months of the year, types of expenses, investment choices, and so on.
We usually begin by summarizing categorical data into a frequency table. A frequency table has two columns. One column lists the categories, and the other lists the frequencies with which the items in the categories occur. In the table below, the category (column A) is Household Assets and the frequency (column B) is numbers of dollars.
Tables like this are not new to us. In previous tutorials, we already saw how to build frequency tables in the form of budgets and balance sheets.
fx | A | B |
---|---|---|
1 | Household Assets | Market Value |
2 | Primary residence | $0 |
3 | Automobile | $5,800 |
4 | Bicycle | $400 |
5 | Other | $500 |
6 | Furniture | $1,100 |
7 | Electronics | $1,800 |
8 | Other Household Items | $300 |
9 | Total | $9,900 |
Frequency tables are useful, but sometimes we need an even more intuitive way of displaying data. This is where charts come in.
A column chart is a graph that displays a column for each category with the height of each column indicating the frequency of that category. The vertical y-axis has a scale and measures the frequency of each category, often dollars. The horizontal x-axis with the categories typically does not have a scale.
Constructing a column chart in a spreadsheet is most easily described using an example. Let’s use the market value of household assets that we just studied:
Note: some programs have a Chart section:
Here’s the completed column chart after following the steps.
A bar chart is a column chart oriented horizontally instead of vertically.
In finance, it’s often useful to reorder frequency values from largest to smallest, or vice versa. Such arrangements make it easier to compare similar values in the chart, even without gridlines. This type of organization is called a Pareto chart.
The steps for creating a Pareto chart are the same as that of a column chart, with one exception: we must first sort the frequency table by value.
Note: some programs have a Sort section:
Here's an example of the “Sort by” drop-down menu:
The finished Pareto chart looks like this:
The owner of these assets can now clearly see that their automobile is their most expensive household asset.
Column charts may also have two or more frequency values associated with a given category. This allows you to quickly see relationships between frequency values. We call these stacked charts.
Stacked charts are useful when comparing projections to actual figures in finance. Consider this monthly budget:
fx | A | B | C | D |
---|---|---|---|---|
1 | Variable Expense | Projection | Actual | Difference |
2 | Home Repairs | $400 | $175 | $225 |
3 | Clothes | $50 | $0 | $50 |
4 | Groceries | $500 | $390 | $110 |
5 | Takeout Food | $300 | $410 | -$110 |
6 | Auto Repairs | $50 | $18 | $32 |
7 | Gasoline | $100 | $122 | -$22 |
8 | City Water | $80 | $77 | $3 |
The steps for creating a stacked column chart are the same as a standard column chart. The key difference is just choosing the stacked chart type from the Chart Editor on the right side of your screen (or from the Chart section on the Home page in certain spreadsheet programs).
Here’s the completed stacked column chart. Notice how it calls attention to the data from column D of the frequency table:
The yellow bands represent the difference between actuals and projections. Yellow bands above the $0-line represent a surplus of money where spending was less than expected. Yellow bands below the $0-line represent shortages.
The stacked chart helps us see that although the budget had some insufficient predictions for takeout food and gasoline, its surpluses will more than make up for those two shortages. This month's budget should be in good shape, especially since home repair expenses were well below the prediction.
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We use pie charts to show relative sizes of each frequency value. Unlike column charts, pie charts can more effectively show a part-to-whole relationship.
A pie chart is a circle made up of different-sized wedges, similar to a pie or pizza. The relative size of each wedge corresponds to the relative frequencies of the categories. Often pie charts list their frequencies or relative frequencies (percents) in the chart right next to the pie slices.
Knowing how your expenses are distributed is helpful when managing your spending. It can help you make smart, productive choices. Let’s display the expenses in this annual budget as a pie chart to see the distribution. Pie charts can increase your productivity because the chart fills in the percentages for you!
fx | A | B | C |
---|---|---|---|
1 | Annual Income | Dollars | ----- |
2 | Employment | $41,300 | |
3 | Annual Expenses | Dollars | Percentage |
4 | Housing | $14,400 | |
5 | Food | $12,700 | |
6 | Utilities | $2,500 | |
7 | Health Care | $2,800 | |
8 | Transportation | $4,200 | |
9 | Miscellaneous | $1,500 | |
10 | Savings | $3,200 | |
11 | Total Expenses | $41,300 | 100% |
To create a pie chart in a spreadsheet, follow the steps from the previous examples. For this data, click and drag on all columns and rows that contain expenses. Include the category names, but exclude the total expense. Select Insert + Chart and choose pie chart from the Chart Editor.
The finished pie chart is below. Notice how the percentages and category labels are included automatically. That’s a real time saver!
Source: THIS TUTORIAL HAS BEEN ADAPTED FROM LUMEN LEARNING’S “REPRESENTING DATA GRAPHICALLY”. ACCESS FOR FREE AT courses.lumenlearning.com/mathforliberalartscorequisite/chapter/introduction-representing-data-graphically/. LICENSE: CREATIVE COMMONS ATTRIBUTION 4.0 INTERNATIONAL.