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How To Modify Bin Width For A Histogram In Excel Mac

A histogram is a chart that shows frequencies for
intervals of values of a metric variable.Such intervals as known as “bins” and they all have the same widths. The example above uses $25 as its bin width. So it shows how many people make between $800 and $825, $825 and $850 and so on.
Note that the mode of this frequency distribution is between $900 and $925, which occurs some 150 times.

Histogram - Example

A company wants to know how monthly salaries are distributed over 1,110 employees having operational, middle or higher management level jobs. The screenshot below shows what their raw data look like.

Excel does not yet know how to label the horizontal axis of our chart. Right-click the chart and choose “Select Data” to edit the axis labels. The “Select Data” choice on the chart context menu allows us to edit the axis labels. Right-click the chart and choose “Select Data” to edit the axis labels. This is the default setting for histograms. Enter a positive decimal number for the number of data points in each range. Number of bins. Enter the number of bins for the histogram (including the overflow and underflow bins). Overflow bin. Select this check box to create a bin for all values above the value in the box to the right.

Since these salaries are partly based on commissions, basically every employee has a slightly different salary. Now how can we gain some insight into the salary distribution?

You can now define your bin numbers or bin width; There are several other options available to customize the Histogram in Excel. I personally don’t prefer this chart. But its useful when i don’t have a bin range. So we learned how to plot histogram in excel 2016. The histogram in Excel 2013 has the same procedure. A histogram is a bar graph (visualization) that shows the occurrence of values in each of several bin ranges. Histograms provide a visualization of numerical data. Frequency distributions visualize categorical (text) data. Later on this page are steps to create a Histogram manually in macOS and Windows Excel 2016 and prior versions.

Histogram Versus Bar Chart

How to modify bin width for a histogram in excel machine learning

We first try and run a bar chart of monthly salaries. The result is shown below.

Our bar chart is pretty worthless. The only thing we learn from it is that most salaries occur just once and some twice. The main problem here is that a bar chart shows the frequency with which each distinct value occurs in the data.
Importantly, note that the first interval is ($832 - $802 =) $30 wide. The last interval represents ($1206 - $1119 =) $87. But both are equally wide in millimeters on your screen. This tells us thatthe x-axis doesn't have a linear scalewhich renders this chart unsuitable for a metric variable such as monthly salary.

Histogram - Basic Example

Since our bar chart wasn't any good, we now try and run a histogram on our data. The result is shown below.

This chart looks much more useful but how was it generated? Well, we assigned each employee’s salary to a $25 interval ($800 - $825, $825 - $850 and so on). Next, we looked up the number of employees that fall within each such interval. We visualize these frequencies by bars in a chart.
Importantly, the x-axis of our chart has a linear scale: each $25 interval corresponds to the same width in millimeters even if it contains zero employees. The chart we end up with is known as a histogram and -as we'll see in a minute- it's a very useful one.

Histogram - Bin Width

The bin width is the width of the intervals
whose frequencies we visualize in a histogram.Our first example used a bin width of $25; the first bar represents the number of salaries between $800 and $825 and so on. This bin width of $25 is a rather arbitrary choice. The figure below shows histograms over the exact same data, using different bin widths.

Although different bin widths seem reasonable, we feel $10 is rather narrow and $100 is rather wide for the data at hand. Either $25 or $50 seems more suitable.

Histograms - Why Are They So Useful?

Why are histograms so useful? Well, first of all, charts are much more visual than tables; after looking at a chart for 10 seconds, you can tell much more about your data than after inspecting the corresponding table for 10 seconds. Generally, charts convey information about our data faster than tables -albeit less accurately.
On top of that, histograms also give us a much more complete information about our data. Keep in mind that you can reasonably estimate a variable’s mean, standard deviation, skewness and kurtosis from a histogram. However, you can't estimate a variable’s histogram from the aforementioned statistics. We'll illustrate this with an example.

Histogram Versus Descriptive Statistics

Let's say we find two age variables in our data and we're not sure which one we should use. We compare some basic descriptive statistics for both variables and they look almost identical.

So can we conclude that both age variables have roughly similar distributions? If you think so, take a look at their histograms shown below.

Split Histogram - Frequencies

How To Modify Bin Width For A Histogram In Excel Mac 2017

Each of the 1,110 employees in our data has a job level: operational, middle management or higher management. If we want to compare the salary distributions between these three groups, we may inspect a split histogram: we create a separate histogram for each job level and these three histograms have identical axes. The result is shown below.

Our split histogram totally sucks. The problem is that the group sizes are very unequal and these relate linearly to the surface areas of our histograms. The result is that the surface area for higher management (n = 10) is only 1% of the surface area for “operational” (n = 1,000). The histogram for higher management is so small that it's no longer visible.

Split Histogram - Percentages

We just saw how a split histogram with frequencies is useless for the data at hand. Does this mean that we can't compare salary distributions over job levels? Nope. If we choose percentages within job level groups, then each histogram will have the same surface area of 100%. The result is shown below.

How To Change Bins In Histogram Excel Mac

Histogram - Final Notes

How To Change Bin Size On Histogram In Excel

This tutorial aimed at explaining what histograms are and how they differ from bar charts. In our opinion, histograms are among the most useful charts for metric variables. With the right software (such as SPSS), you can create and inspect histograms very fast and doing so is an excellent way for getting to know your data.