Python Crash Course - Data Visualization Project

Generate data and create a series of functional and beautiful visualizations of that data using matplotlib and Pygal.

Access data from online sources and feed it into a visualization package to create plots of weather data and world population map.

Write a program to automatically download and visualize data.

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
__pycache__		__pycache__
README.md		README.md
alaska_highs_lows.py		alaska_highs_lows.py
americas.py		americas.py
americas.svg		americas.svg
cali_highs_lows.py		cali_highs_lows.py
countries.py		countries.py
country_codes.py		country_codes.py
die.py		die.py
die_visual.py		die_visual.py
die_visual.svg		die_visual.svg
diff_dice_visual.py		diff_dice_visual.py
diff_die_visual.svg		diff_die_visual.svg
hacker_news.py		hacker_news.py
mpl_squares.py		mpl_squares.py
python_repos.py		python_repos.py
python_repos.svg		python_repos.svg
random_walk.py		random_walk.py
ruby_repos.py		ruby_repos.py
ruby_repos.svg		ruby_repos.svg
rw_visual.py		rw_visual.py
scatter_squares.py		scatter_squares.py
two_die_visual.py		two_die_visual.py
two_die_visual.svg		two_die_visual.svg
world_population.py		world_population.py
world_population.svg		world_population.svg

cbohara/data_visualization