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GITAM-2210416132-May-2019
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Curriculum
Worklog
Day 1 (29.APRIL.19)
Day 2 (30.APRIL.19)
Day 3 (1.MAY.19)
Day 4 (2.MAY.19)
Day 5 (3.MAY.19)
Day 6 (4.MAY.19)
Day 7 (5.MAY.19)
Day 8 (6.MAY.19)
Day 9 (7.MAY.19)
Day 10 (8.MAY.19)
Day 11 (9.MAY.19)
Day 12 (10.MAY.19)
Day 13 (11.MAY.19)
Day 14 (12.MAY.19)
Day 15 (13.MAY.19)
Day 16 (14.MAY.19)
Day 17(15.May.19)
Day 18 (16.May.19)
Day 19 (17.May.19)
Day 20 (18.May.19)
Team SPRINT
Github
GITAM-2210416132-May-2019
Day 20 (18.May.19)
Day Objectives
Matplotlib
library for Data Visualization
Line Plots
Bar Graphs
Scatter Plot
Histograms
Pie Charts
Programs:
Plotting 2d Graph using Matplotlib library.
Plotting 2d Graph(Bar,Linear Graphs) for Income vs Years of Income of Arizona from a .csv file using Matplotlib library.
Hakathon(Phase-2)
Using the Matplotlib library, generate a
Pie Chart
to categorise student marks data in a CSV file into Distinction, First Class, Second Class, Third Class and Failed Categories(based on percentages). Explode the Distinction category.
Generate a CSV containing marks of 2000 students
From the CSV, generate the Pie Chart
Accessing the
App data from App Store
, generate the following Visualizations
Pie Chart to categorise all app categories based on count
For the Sports Category, generate a bar graph to show average rating for free vs paid apps
All the today's problems are solved in Python using Jupyter Notebook and can be accessed within Google Drive
here
and the code in
Github
Google Sites
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Google Sites
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