Skip to content

sampathkumar-mitchell submission #4

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
bsampath17 wants to merge 3 commits into
base: master
Choose a base branch
from
Open

sampathkumar-mitchell submission #4

Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
6214f67
EX5 questions 1 and 3
bsampath17 Sep 28, 2017
93742fc
Added code for question 2 and 3 - Thomas
twhmitchell Sep 28, 2017
6438293
modified q3 - Balaji
bsampath17 Sep 28, 2017
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
25 changes: 25 additions & 0 deletions EX_5_Script
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,25 @@
import numpy
import os
os.listdir('.')
os.chdir('/Users/sampathkumarbalaji/EX_5/Intro_Biocom_ND_319_Tutorial5')
import pandas
wages_csv=pandas.read_csv("wages.csv")
col_unq_sort_gen_yrs = (wages_csv.iloc[:,0:2]).drop_duplicates(keep='first').sort_values(by='gender', ascending=True).sort_values(by= 'yearsExperience', ascending=True)
col_unq_sort_gen_yrs.to_csv('ex5.csv', sep=' ', index=False)

@lyy005 lyy005 Oct 5, 2017

Copy link
Copy Markdown
Owner

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Good job

print ('Highest earner:')
earner_H = wages_csv.sort_values(by='wage', ascending=False).iloc[0:1, [0,1,3]]
print (earner_H.to_string(index=False))
print ('Lowest earner:')
earner_L = wages_csv.sort_values(by='wage', ascending=True).iloc[0:1, [0,1,3]]
print (earner_L.to_string(index=False))
print ('Women in Top 10 Earners:')
earner_top10_w = wages_csv.sort_values(by='wage', ascending=False).iloc[0:11, [0,1,3]]
earner_number_of_women = (earner_top10_w[earner_top10_w.gender=="female"]).shape[0]
print (earner_number_of_women)

@lyy005 lyy005 Oct 5, 2017

Copy link
Copy Markdown
Owner

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Good job

print('Effect - Graduating College on Minimum Wage:')
min_wages_12 = (wages_csv[wages_csv.yearsSchool==12]).sort_values(by='wage', ascending=True).iloc[0:1, 3]
min_wages_16 = (wages_csv[wages_csv.yearsSchool==16]).sort_values(by='wage', ascending=True).iloc[0:1, 3]
print (min_wages_16.values - min_wages_12.values)

@lyy005 lyy005 Oct 5, 2017

Copy link
Copy Markdown
Owner

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Good job