Project One Jupyter Script.html - Project One Data Visualization Descriptive Statistics Confidence Intervals� This notebook contains the step-by-step

Project One Jupyter Script.html - Project One Data...

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Project One: Data Visualization, Descriptive Statistics, Confidence IntervalsThis notebook contains the step-by-step directions for Project One. It is very important to run through the steps in order. Some steps depend on the outputs of earlier steps. Once you have completed the steps in this notebook, be sure to write your summary report.You are a data analyst for a basketball team and have access to a large set of historical data that you can use to analyze performance patterns. The coach of the team and your management have requested that you use descriptive statistics and data visualization techniques to study distributions of key performance metrics that are included in the data set. These data-driven analytics will help make key decisions to improve the performance of the team. You will use the Python programming language to perform the statistical analyses and then prepare a report of your findings to present for the team’s management. Since the managers are not data analysts, you will need to interpret your findings and describe their practical implications.There are four important variables in the data set that you will study in Project One.Variable What does it represent? pts Points scored by the team in a game
Assigned TeamThis is the team that the management has assigned to you to compare against your team. See Step 1. Reminder: It may be beneficial to review the summary report template for Project One prior to starting this Python script. That will give you an idea of the questions you will need to answer with the outputs of this script.Step 1: Data Preparation & the Assigned TeamThis step uploads the data set from a CSV file. It also selects the assigned team for this analysis. Do notmake any changes to the code block below.

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