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lancepokaiwang/Slow_Down_The_23_Seconds_Death_Clock

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data
data
 
 
graph
graph
 
 
importexcel
importexcel
 
 
screenshot
screenshot
 
 
.gitignore
.gitignore
 
 
1.1 Data Import.py
1.1 Data Import.py
 
 
1.2. Data Clean.py
1.2. Data Clean.py
 
 
1.2.5 Data Clean_v5.py
1.2.5 Data Clean_v5.py
 
 
1.3. Export to CSV.py
1.3. Export to CSV.py
 
 
1.3. Export to CSV_focus.py
1.3. Export to CSV_focus.py
 
 
1.3.5. Match_Additional_Info.py
1.3.5. Match_Additional_Info.py
 
 
1.3.5.5 Match_Additional_Info_V5.py
1.3.5.5 Match_Additional_Info_V5.py
 
 
1.4. Export to CSV_focus_quebec.py
1.4. Export to CSV_focus_quebec.py
 
 
1.5 Mysql_to_MongoDB.py
1.5 Mysql_to_MongoDB.py
 
 
1.6. Export to CSV_focus_ns.py
1.6. Export to CSV_focus_ns.py
 
 
2. PCC_National.py
2. PCC_National.py
 
 
2. PCC_Quebec.py
2. PCC_Quebec.py
 
 
2.1. Feature Selection.py
2.1. Feature Selection.py
 
 
3. Overall Trend Analysis.py
3. Overall Trend Analysis.py
 
 
4.Vehicle Type Analysis copy.py
4.Vehicle Type Analysis copy.py
 
 
5. Types Collision of Each Year.py
5. Types Collision of Each Year.py
 
 
6. Weather_Year_Month_for_Private.py
6. Weather_Year_Month_for_Private.py
 
 
7. scatter plot.py
7. scatter plot.py
 
 
8. DT_RoadSurface_Weather.py
8. DT_RoadSurface_Weather.py
 
 
9. Apriori_v2.py
9. Apriori_v2.py
 
 
Basic_Functions.py
Basic_Functions.py
 
 
README.md
README.md
 
 
bubble_chart_national.png
bubble_chart_national.png
 
 
dbass.py
dbass.py
 
 
focus_correlation_national.png
focus_correlation_national.png
 
 
focus_correlation_ns.png
focus_correlation_ns.png
 
 
focus_correlation_quebec.png
focus_correlation_quebec.png
 
 

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data5000

This is the GitHub reposotiry for Carleton course Data5000. Any coding files, dataset and relevent files will be here.

Google Drive Folder:

Visit here

Dataset we use:

National Collision Database: view or other Dataset

Course Website

Visit here

Important Deadline:

  • 01/13 Find a team member.
  • 01/21 Paper Selection.
  • 01/21 Project Proposal.
  • 02/04 Paper presentation.
  • 03/10 Presentation outline.
  • 03/24 Poster presentation.
  • 03/31 Data Day. Project presentation.
  • 04/07 (Last day of course)
  • 04/14 Project report dead line.

Update History:

2020.01.21 Update

  1. Create python file 3 ~ 6 with their statistical graphs.

2020.01.15 Update

  1. Import raw data to Mongo DB.
  2. First try PCC.submitting changes.

2020.01.09 Project starts

  1. Dataset were arrenged at folder /data/
  2. Due to raw data is too huge to upload to GitHub, raw data will be ignored when submitting changes.

How to modify this file?

The contnt you see is written at README file, where developers usually put develop progress, instruction or anything important related with project. You can learn how to modify this file at here.

License

No license. All rights reserved by Lance Wang (@ycpss91303) and Miaoran Dong (@miaorandong).

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Course project for Data 5000

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data-science data-mining traffic pearson-correlation-coefficient

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