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These projects were completed in contribution towards earning the Python for Data Science certificate from SoloLearn.

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SoloLearn-Python_for_Data_Sci

These projects were completed in contribution towards earning the Python for Data Science certificate from SoloLearn.


Project #1: Basketball Players

From SoloLearn:

The given code includes a list of heights for various basketball players. You need to calculate and output how many players are in the range of one standard deviation from the mean. Output the result using the print statement.


Project #2: House Prices

From SoloLearn:

You are given an array that represents house prices. Calculate and output the percentage of houses that are within one standard deviation from the mean. To calculate the percentage, divide the number of houses that satisfy the condition by the total number of houses, and multiply the result by 100.


Project #3: COVID Data Analysis

From SoloLearn:

You are working with the COVID dataset for California, which includes the number of cases and deaths for each day of 2020. Find the day when the deaths/cases ratio was largest.

To do this, you need to first calculate the deaths/cases ratio and add it as a column to the DataFrame with the name 'ratio', then find the row that corresponds to the >largest value.

Important: The output should be a DataFrame, containing all of the columns of the dataset for the corresponding row.


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These projects were completed in contribution towards earning the Python for Data Science certificate from SoloLearn.

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