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mining-uber-dataset-

Program files :

auto.bash : Program used for parsing of data and for exploratory data analysis.

ProjectReport.pdf : Final report for Project

Directories and their description :

exploratory_analysis :

  • ExploratoryAnalysis.ipynb :** Exploratory used to plot histograms of pickups per day/month/hour
  • Geographic_exploratory_analysis.ipynb :** Program used for plotting data on NY map using the parsed files in parsed_data folder.

algoritmic_analysis :

  • Contains GeoSpatial DbScan code, GeoJSON parsing scripts, Scripts for Binning the data by location and time

Images : Contains all of our NYC map plots by month and of the whole dataset. Files - < MONTH >.png, Complete.png Histogram representations of Average number of pickups by Day, Average number of pickups by Hour, Average number of pickups by Months.

Data : Contains both raw data and parsed data. raw_data contains all of the original uber data set untouched. parsed_data contains data parsed for plotting on NY map and for exploratory data analysis

RandomForest : Contains Random Forest algorithm and Binning on data.
Trends.ipynb Trends on data based on Random Forest.
RandomFores.ipynb RF alorithm on the pre-processed data i.e 5 months of training data and 1 month of testing data.
Counting.ipynb Grid Binning of original data and also the final binning based on time. Note: Uses two files raw data from data/raw_data other is results.csv

GPFlow : Contains GPFlow trend analysis algorithm and data for the same.
GPflow-trend-analysis.ipynb - Trends on dataset as function of time. parsing-scripts.ipynb - to parse the raw data into weather and result file. data : Folder contains all the weather information and data binned on time. Note: files used to run GPFlow are inside data directory of GPFlow directory

Contributors Abhilash Mysore Somashekar Raviraj Wani Sanil Jain Satya Akhil Chowdary Kuchipudi

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