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This is a continuation of the data analysis project using L.A. city's data 'Great Streets Pedestrian Survey 2015'.
The data shown is already data wrangled and cleaned which is described on my other repo.
This project is to demonstrate how to use charts to unnderstand the data better.
- Plotly - a python browser-based graphing library
- pip install plotly
- Easier to use pandas and numpy to manipulate data for charts.
import plotly.express as px
pie_fig = px.pie(...)
pie_fig.update_layout(...)
Creating Chart extracted from a single string question from column 2
chart_data = df.loc[:, new_cols].sum()
chart_data_df = pd.DataFrame({"Pedestrians": chart_data})
chart_data_sorted_df = pd.DataFrame()
chart_data_sorted_df = chart_data_df.sort_values(by=['Pedestrians'])
chart_data_sorted_df
See the open issues for a list of proposed features (and known issues).
- Top Feature Requests (Add your votes using the 👍 reaction)
- Top Bugs (Add your votes using the 👍 reaction)
- Newest Bugs
- ykimdeveloper - message me for any questions
Reach out to the maintainer at one of the following places:
- GitHub issues
- Contact options listed on this GitHub profile
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Together, we can make Charts_Great_Streets_Survey_ykimdeveloper better!
First off, thanks for taking the time to contribute! Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make will benefit everybody else and are greatly appreciated.
Please read our contribution guidelines, and thank you for being involved!
The original setup of this repository is by Alexey Potapov.
For a full list of all authors and contributors, see the contributors page.
Charts_Great_Streets_Survey_ykimdeveloper follows good practices of security, but 100% security cannot be assured. Charts_Great_Streets_Survey_ykimdeveloper is provided "as is" without any warranty. Use at your own risk.
For more information and to report security issues, please refer to our security documentation.
This project is licensed under the MIT license.
See LICENSE for more information.