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`committees.csv </_static/committees.csv>`_ Committees active in the election linked to propositions supported or opposed
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`contributions.csv </_static/contributions.csv>`_ Donors reported by each of the committees
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`committees.csv <https://first-python-notebook.readthedocs.io/_static/committees.csv>`_ Committees active in the election linked to propositions supported or opposed
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`contributions.csv <https://first-python-notebook.readthedocs.io/_static/contributions.csv>`_ Donors reported by each of the committees
The data are structured in rows of comma-separated values. This is known as a `CSV file <https://en.wikipedia.org/wiki/Comma-separated_values>`_. It is the most common way you will find data published online.
@@ -33,7 +33,7 @@ Scroll down to the first open cell. There we will import the first CSV file list
After you run it, you shouldn't see anything. That's a good thing. It means our DataFrame has been saved under the name props, which we can now begin interacting with in the cells that follow.
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@@ -95,7 +95,7 @@ We'll start by using the read_csv method to import the second CSV file linked ab
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