Twitter

//////////////////////////// ///Please view trends.py//// ////////////////////////////

In this project, I developed a geographic visualization of Twitter data across the USA using dictionaries, lists, and data abstraction techniques to create a modular program.

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
__pycache__		__pycache__
data		data
README.md		README.md
data.py		data.py
data.py.html		data.py.html
geo.py		geo.py
geo.py.html		geo.py.html
graphics.py		graphics.py
graphics.py.html		graphics.py.html
maps.py		maps.py
maps.py.html		maps.py.html
texas.png		texas.png
trends.html		trends.html
trends.py		trends.py
trends.py.html		trends.py.html
trendswcomments.py		trendswcomments.py
ucb.py		ucb.py
ucb.py.html		ucb.py.html

zarachiara/Twitter

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