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Creating a Scatter Chart Olivier Technical Brief18 Mar 2013, HIC www.qlikview.comContents Contents ..............................................................................................................................................
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How to fill out creating a scatter chart:

01
Start by opening a spreadsheet program like Microsoft Excel or Google Sheets.
02
Enter your data values into two columns, with one column representing the X-axis values and the other representing the Y-axis values.
03
Select both columns of data and click on the "Insert" tab or option in the menu.
04
Look for the chart options and select "Scatter chart" or "Scatterplot" from the available chart types.
05
A scatter chart will be generated based on your data, with dots representing each data point.
06
Customize your scatter chart by adding titles, labels, and legends.
07
Format the chart to improve readability, such as adjusting the axis scales, changing the colors or markers of the data points.
08
Review and analyze your scatter chart to identify any trends or patterns in the data.

Who needs creating a scatter chart:

01
Researchers: Scatter charts are commonly used in research to visualize relationships between variables and identify correlations or trends.
02
Data analysts: Creating scatter charts helps data analysts identify outliers, clusters, or any unusual patterns in the data.
03
Presenters or educators: Scatter charts are often used in presentations or educational materials to explain the relationship between variables visually and engage the audience.
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A scatter chart is a type of data visualization that shows the relationship between two variables by plotting points on a graph.
Individuals or organizations that want to analyze the relationship between two variables using a visual representation may choose to create a scatter chart.
To fill out a scatter chart, you need to have the data points for the two variables you want to compare and input them into a graphing tool or software that supports scatter charts.
The purpose of creating a scatter chart is to visually display the relationship between two variables, such as identifying patterns, correlations, or trends in the data.
The information reported on a scatter chart includes the data points for the two variables being compared, as well as any labels or annotations to help interpret the chart.
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