The project contains three folders(i.e. data_preparation, model_fitting, result_display), including all the codes and data.
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data_preprartion folder consists of the data (raw data and processed data) and codes (bike data collecting, car data collecting and weather data collecting codes).
- These folders or files can be understood via the names.
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model_fitting folder consistes of the first version, last version model building codes and the data frames produced in the process.
- 1st_dataProcess_ModelBuild.py and last_dataProcess_ModelBuild.py are the first version and last version code to process the data and build the model respectively.
- initialData.csv is the data before PCA analysis.
- trafficData.csv is the data after PCA analysis.
- weatherData.csv is the data of weather condition.
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result_display folder consists of web system based on python.
- temp folder contains the html file.
- main.py contains data preprocessing and logistic regression model.
- dataProcess_ModelBuild.py is the packaged data processing and other models code.
- BDT.jason and weatherandtraffic.ibd are the part of trial data.
- view.py is the code to display the result on a web page.