Plotting Data from Multiple Files with Different Axes on One Chart

When working with data, it is often necessary to compare and contrast information from multiple sources. This can be especially challenging when the data comes from different files with different axes. However, with the help of a few tools and techniques, you can easily plot data from multiple files with different axes on one chart. In this article, we will show you how to do just that.

Prerequisites

To follow along with this article, you will need to have a basic understanding of:

• Data analysis and visualization concepts
• Spreadsheet software such as Microsoft Excel, Google Sheets, or LibreOffice Calc
• Programming languages such as Python or R (optional)

Plotting Data from Multiple Files with Different Axes on One Chart

Let's say you have two data files, file1.csv and file2.csv, with the following contents:

file1.csv:
x,y
1,2
2,4
3,6
4,8

file2.csv:
x,z
1,3
2,6
3,9
4,12

As you can see, both files have a column named "x", but file1.csv has a column named "y" while file2.csv has a column named "z". To plot the data from both files on one chart, we can use a spreadsheet software such as Microsoft Excel, Google Sheets, or LibreOffice Calc.

Using Microsoft Excel

To plot the data from both files on one chart in Microsoft Excel, follow these steps:

1. Open a new Excel workbook and create a new sheet.
2. Import the data from file1.csv into the sheet. You can do this by clicking on the "Data" tab in the ribbon, selecting "From Text/CSV", and then selecting "file1.csv". This will create a new table with the data from file1.csv.
3. Create a new chart by clicking on the "Insert" tab in the ribbon, selecting "Scatter", and then selecting "Scatter with Only Markers". This will create a new chart with the data from file1.csv.
4. Import the data from file2.csv into the sheet. You can do this by clicking on the "Data" tab in the ribbon, selecting "From Text/CSV", and then selecting "file2.csv". This will create a new table with the data from file2.csv.
5. Add the data from file2.csv to the chart. You can do this by clicking on the chart, clicking on the "Design" tab in the ribbon, selecting "Select Data", and then adding the data from file2.csv to the chart. Make sure to set the "Series Name" to "file2.csv" and the "X values" to "file2.csv!$A$2:$A$5" and the "Y values" to "file2.csv!$B$2:$B$5".
6. Add a new axis to the chart. You can do this by clicking on the chart, clicking on the "Chart Design" tab in the ribbon, selecting "Add Chart Element", and then selecting "Axes". Then, select "Secondary Vertical Axis" and "Show Left to Right Axis".
7. Format the chart as desired. You can do this by clicking on the chart, clicking on the "Chart Design" tab in the ribbon, and selecting "Format Chart Area".

Using Google Sheets

To plot the data from both files on one chart in Google Sheets, follow these steps:

1. Open a new Google Sheets document and create a new sheet.
2. Import the data from file1.csv into the sheet. You can do this by clicking on "File" in the menu bar, selecting "Import", and then selecting "Upload". Then, select "file1.csv" and click "Open".
3. Create a new chart by clicking on the "Insert" tab in the menu bar, selecting "Chart", and then selecting "Scatter". This will create a new chart with the data from file1.csv.
4. Import the data from file2.csv into the sheet. You can do this by clicking on "File" in the menu bar, selecting "Import", and then selecting "Upload". Then, select "file2.csv" and click "Open".
5. Add the data from file2.csv to the chart. You can do this by clicking on the chart, clicking on the "Data" tab in the menu bar, and selecting "Edit data range". Then, add the data from file2.csv to the chart by adding the range "file2.csv!A2:B5" to the data range. Make sure to set the "Series name" to "file2.csv" and the "Y-axis" to "file2.csv!B2:B5".
6. Add a new axis to the chart. You can do this by clicking on the chart, clicking on the "Customize" tab in the menu bar, selecting "Horizontal axis", and then selecting "Scale". Then, select "Custom" and set the "Minimum" to 0 and the "Maximum" to 12. This will create a new axis for the data from file2.csv.
7. Format the chart as desired. You can do this by clicking on the chart, clicking on the "Format" tab in the menu bar, and selecting "Format options".

Using LibreOffice Calc

To plot the data from both files on one chart in LibreOffice Calc, follow these steps:

1. Open a new LibreOffice Calc document and create a new sheet.
2. Import the data from file1.csv into the sheet. You can do this by clicking on "File" in the menu bar, selecting "Open", and then selecting "file1.csv". This will create a new table with the data from file1.csv.
3. Create a new chart by clicking on the "Chart" tab in the menu bar, selecting "Chart", and then selecting "Scatter". This will create a new chart with the data from file1.csv.
4. Import the data from file2.csv into the sheet. You can do this by clicking on "File" in the menu bar, selecting "Open", and then selecting "file2.csv". This will create a new table with the data from file2.csv.
5. Add the data from file2.csv to the chart. You can do this by clicking on the chart, clicking on the "Data Ranges" tab in the menu bar, and then adding the data from file2.csv to the chart. Make sure to set the "Series Name" to "file2.csv" and the "X values" to "file2.csv" and the "Y values" to "file2.csv".
6. Add a new axis to the chart. You can do this by clicking on the chart, clicking on the "X-Axis" tab in the menu bar, and then selecting "Scale". Then, select "Custom" and set the "Minimum" to 0 and the "Maximum" to 12. This will create a new axis for the data from file2.csv.
7. Format the chart as desired. You can do this by clicking on the chart, clicking on the "Chart Design" tab in the menu bar, and selecting "Format Chart".

In this article, we have shown you how to plot data from multiple files with different axes on one chart using spreadsheet software such as Microsoft Excel, Google Sheets, or LibreOffice Calc. By following these steps, you can easily compare and contrast data from multiple sources, making it easier to analyze and understand.

References