Data Interview Qs - Foggiest months

InterviewQs

Foggiest months

Data Analysis Python Pandas Data Manipulation Data Visualization External Dataset

Forward this email to a friend or colleague and challenge them to solve it.

Hi, 

You're given the following dataset, containing information about a year's worth of weather. Using this data, calculate the percent of time it was raining each month. Note: this will require manipulating and classifying the existing data.

As a reference, below is code to import the dataset:

    

# Import libraries

%matplotlib inline

import pandas as pd

import matplotlib.pyplot as plt

import numpy as np

# Import data

weather_2012 = pd.read_csv('https://raw.githubusercontent.com/erood/interviewqs.com_code_snippets/master/Datasets/

weather_2012.csv', parse_dates=True, index_col='Date/Time')

# Preview data

weather_2012.head()

Solution will be written in Python for premium users.



 

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