December 2015
Beginner to intermediate
202 pages
4h
English
Content preview from Python Business Intelligence CookbookBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 3. Learning What Your Data Truly Holds
Now that we have a clean dataset to work with, we'll look at the next phase of business intelligence—exploring the data. In this chapter, we will cover:
- Creating Pandas DataFrames
- Creating a Pandas DataFrame from a MongoDB query
- Creating a Pandas DataFrame from a CSV file
- Creating a Pandas DataFrame from an Excel file
- Creating a Pandas DataFrame from a JSON file
- Creating a data quality report
- Generating summary statistics
- For the entire dataset
- Generating summary statistics for the entire dataset
- Generating summary statistics for object type columns
- Getting the mode of the entire dataset
- For a single column
- Generating summary statistics for a single column
- Getting a count of unique values for a single column
- Getting ...
- For the entire dataset
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