In this notebook, you'll sumarize your finding for the class presentation.

The class presentation will use this notebook in slide mode, as I do during lecture time.

You'll need to download the following zip file, unzip it, and run the following notebook install-support.ipynb to install the slide ...

In this notebook, you'll perform the actual analysis of the data stored in the directory

./data/cleaned

If the data is not ready yet (e.g. the other members of the team in charge of cleaning the data are not done yet), you may want to simulate cleaned data ...

In this notebook, you'll

• load the raw data into R or Pandas dataframe from the ./data/raw directory using the functions and classes (written during the data gathering phase) in the ./script directory

• perform visual exploration on your data variables to detect anomalies, errors, outliers, interesting features etc.

• clean ...

In this notebook, you'll

• create the directory structure for your project
• download the raw data for your project
• write functions and classes to transform raw data (e.g in XML, jason, etc.) into data frames
• explain what your are doing

Team members responsible for this notebook:

List the team ...