Perform DataFrame operations in Pandas for a more in-depth look at data wrangling in practice
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Updated
Jul 8, 2020 - Jupyter Notebook
Perform DataFrame operations in Pandas for a more in-depth look at data wrangling in practice
Using Python and Jupyter Notebook, school district's data is cleared of inaccuracies.
Understanding Pandas, Groupby Function, Filtering Function
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Perform Clustering for the crime data and identify the number of clusters formed and draw inferences. Data Description: Murder -- Muder rates in different places of United States Assualt- Assualt rate in different places of United States UrbanPop - urban population in different places of United States Rape - Rape rate in different places of Unit…
Created a summary DataFrame of the ride-sharing data by city type of a Uber-like company (Pyber). Then, using Pandas and Matplotlib, I created a multiple-line graph that shows the total weekly fares for each city type. Finally, I made a written report that summarizes how the data differs by city type and how those differences can be used by deci…
Created summary DataFrame of ride-sharing data by city type using Python and multiple-line graph of weekly fares by city type using Pandas and Matplotlib.
Used libraries and functions as follows:
Fast groupby-apply operations in python.
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Utilize SQL to conduct a comprehensive analysis of pizza sales data, aiming to uncover patterns, trends, and insights that will inform strategic decision-making and enhance overall business efficiency.
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