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Universal Service Administrative Company (USAC) E-rate Program Analysis. Tech used: Sodapy, Socrata, Pandas, Numpy, Matplotlib, Seaborn, Plotly Dash.

drive.google.com/open?id=1BWapk7obxyjhKVfzZEdO0f91lQRKWt_8SOF3RYSipXc

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images		images
.gitignore		.gitignore
README.md		README.md
by_state.csv		by_state.csv
by_state_with_fips.csv		by_state_with_fips.csv
exploration.ipynb		exploration.ipynb
state-pop.csv		state-pop.csv

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Universal Service Administrative Company (USAC) E-rate Program Analysis

Used Python to access the FRN Status dataset available on the USAC Open Data Platform using the Socrata Open Data API’s SOQL language.

Results of findings are available here.

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Universal Service Administrative Company (USAC) E-rate Program Analysis. Tech used: Sodapy, Socrata, Pandas, Numpy, Matplotlib, Seaborn, Plotly Dash.

drive.google.com/open?id=1BWapk7obxyjhKVfzZEdO0f91lQRKWt_8SOF3RYSipXc

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