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I've sent you the guildline pdf and also the format in which research report must be created. PLEASE NOTE THAT THE REPORT MUST INCLUDE ATLEAST FOUR GRAPHS ON THE DATA. The graphs must be included...

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I've sent you the guildline pdf and also the format in which research report must be created. PLEASE NOTE THAT THE REPORT MUST INCLUDE ATLEAST FOUR GRAPHS ON THE DATA. The graphs must be included in the DISCUSSIONS AND ANALYTICS HEADING which you can find in the report format.
Step 1: Choose a data from kaggle website link provided in the student guideline pdf. Make sure the data you select must have atleast 50 rows.
Step 2: Make a research report on the data with 1500 words and follow the report format pdf to prepare the research report which i've sent you. Please ensure you prepare atleast 4graphs on the data(Like the highest and lowest points. Example: X axis - Years, y axis - Temperature in the particular year)and include in discussions and analytics heading.
Step 3: After preparing the report.. Please create a user account on my name in "colab research google" link provided in the student guideline pdf and type in a simple python codes to link the data to the code. Example: Type code to open the peak temperature year. Take a screenshots of the code and include the screenshots in the report creating a new heading name "Appendix".
Thats all. I hope you get what i said if not please call i'll explain you. I've sent two documents student guideline pdf and research report format.
Answered Same DayDec 21, 2021

Solution

Neha answered on Dec 22 2021
59 Votes
EDA for Basketball Team
EDA for Basketball Team
Submitted By:-
Exploratory Data Analysis
Exploratory data analysis is an approach which is used by the analysts to employ multiple techniques which are useful in maximizing the insights of data, uncover all structure, detect outliers, test the assumptions and also in determining the optimal factors. It helps to understand how the analysis should be done on the data. EDA techniques are mostly graphical because the basic idea behind this is to explore the dataset open mindedly. It is used to check what all information a dataset can provide to us. There are different languages which can be used to perform EDA but I chose to use Python.
Dataset for the EDA
     
Dataset: https:
www.kaggle.com/andrewsundberg/college-basketball-dataset#c
15.csv
TEAM: The Division I college basketball school
CONF: It includes the athletic conferences in which teams participated
G: Number of games played by teams
W: Number of games won by each team
ADJOE: Adjusted Offensive Efficiency (An estimate of the offensive efficiency (points scored per 100 possessions) a team would have against the average Division I defense)
ADJDE: Adjusted Defensive Efficiency (An estimate of the defensive efficiency (points allowed per 100 possessions) a team would have against the average...
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