This is my 73th day of #100daysofcode and #python learning. Today, I keep learning from Datacamp and also completed some assignments. Also, I am present in one bootcamp from dphi where I did data visualization on data given on assignment, which contained some metropolitan data and publicly available here.
After I got Hawkins Fellowship, I am learning from Datacamp because I have access to most courses there now. Hence my journey of learning Algorithms from Coursera is in pending state. I am going to write some of assignments I completed today.
dphi Assignment
All the assignments were quizz but I had to write code in order to find the right answer and it was quite fun to try.
I started by reading CSV file using Pandas.
import pandas as pd
%matplotlib inline
data = pd.read_csv("https://raw.githubusercontent.com/dphi-official/Assignment_Solutions/master/Standard%20Metropolitan%20Areas%20Data%20-%20train_data%20-%20data.csv")
data.head()
Question 1: What is the Mean area of lands?
Not that hard, just take mean.
data.land_area.mean()
Output of the code is,
2615.7272727272725
Question 2: What is the crime rate among all Metropolitan Areas?
Again it is the max value of single column.
data.crime_rate.max()
Output of the code is,
85.62
Question 3: What is the average crime rate among all metropolitan areas?
Same as previous, find mean of single column.
data.crime_rate.mean()
Output of the above code is,
55.64303030303031
Question 4: What is the top 5 data of region 4?
Just do boolean masking.
data[data.region==4]
More
I have uploaded a fully loaded notebook here
Day 73 Of #100DaysOfCode and #Python
— Durga Pokharel (@mathdurga) March 11, 2021
Data Visualization#100DaysOfCode #WomenWhoCode #CodeNewbies #beginner #DEVCommunity pic.twitter.com/RF3dNCgAkm
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