Data Science Jumpstart with 10 Projects Transcripts
Chapter: Project 4: Understanding Grouping and Aggregation Retail Data
Lecture: Loading Retail Data from Excel into Pandas Dataframe

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0:00 Okay, let's load our data. This is coming from UCI, University of California, Irvine
0:05 Machine Learning Repository. There is a spreadsheet there that has cells data.
0:10 Let's load that. Seems like it's taking a long time to load. Again, note that we are
0:16 reading Excel data. Oftentimes when we're loading and writing Excel data, that
0:21 tends to be slow operations because that code is often written in pure Python.
0:27 Okay, that looks like it was successful and we've got 500,000 rows after doing that.


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