🛻 Project

🚙 CAV (AV) testing operations, data case.

📖 Task description

We have a pool of questions and two dataset provided to use to find answers and present interesting observations.

• Datasets contain anonymized & artificially generated observations on AV testing across different location and inventory
  • No extra documentation (inc. meaning, data types, expected values for columns) were provided

Current raw report available, see [html] | [ipynb]

Presentation deck available, see [pdf]

📊 Selected charts

Charts & Slides - click to expand

📁 Structure of repository

Project structure:
+--data                       <- folder for datasets
¦  L--raw                       <- ... 1. raw data
¦  L--interim                   <- ... 2. auxiliary, generated, temporary, preprocessed data
¦  L--processed                 <- ... 3. final, ready-to-analysis data
¦  L--external                  <- ... +. additional datasets
¦  
+--notebooks                  <- folder for *.ipynb files
¦  L--*.ipynb 1                 <- ... file 1
¦
+--src                        <- folder for .py scripts
¦  L--*.py 1                    <- ... file 1
¦  L--*.py 2                    <- ... file 2
¦  L--*.py 3                    <- ... file 3
¦
+--figures                    <- folder for charts and images to reports
¦  L--external                  <- ... 1. external images
¦  L--internal                  <- ... 2. internal images
¦
+--reports                    <- folder for reports (i.e. *.pptx, *.html, *.ipynb)
¦
+--docs                       <- folder for documentation files
¦
+--README.md                  <- the top-level README for developers using this project

Cookiecutter Data Science

📌 Links

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🐉 License and legals

Ask before use.