From the course: Python for Time Series Forecasting
Search and download Federal Reserve Economic Data - Python Tutorial
From the course: Python for Time Series Forecasting
Search and download Federal Reserve Economic Data
- [Instructor] In this lesson, I'm going to show you how to load and pre-process data from the Federal Reserve Economic Data platform. They provide many indicators. In this case, we can look for inflation or CPI, which is the sticky price, consumer price index, less food and energy. You can see the description down below is calculated from a subset of goods and services included in the CPI that change price relatively infrequently. To download the data, we click on Download and grab both the CSV and Excel file. We move both of the downloaded files into the folder, corresponding inside data, FRED. Once there, with the specified path that you can start building from the beginning because Python starts counting from the same location where the file of code is. Therefore, we open the quotes and then with the dots, we go back a folder. We still need to go back once more. Finally, we are in data, then we access FRED and finally we can get the data file we want to load, and once executed, we can see it in the Python code.
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