Visualizing high-frequency data using a Jupyter Notebook and Stata 18

After two first blogs (here and here) on how to launch Stata in a Jupyter Notebook. In the following file, you will see that Stata can be helpful to visualize high-frequency data. When you have high-frequency data, you cannot use Excel to visualize the data due to the high number of observations. In the following, we will see that importing high-frequency data into a Jupyter Notebook using Stata allows you to visualize the data without the line limit of Excel. You can click on the following link to access to the content:

You will see that in a few steps that visualizing high-frequency data becomes more simple than in Excel.


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