Setup

The Pandas library has been added as a dependency to this project to allow for easier debugging of query results as well as for a nice printed version of the database table. Follow the below instructions to set up a virtual enviroment and install dependecies

1. Clone this repo to get started:

   git clone git@github.com:EvavW/inq-data-eng-interview-exercise-main.git

2. Create a virtual environment at the top level of the project. Make sure your version of Python is updated to at least version 3.6. This directory will not be tracked in git, see the .gitignore file to change this:

   python -m venv ./

3. Activate the virtual environment:

   source ./venv/bin/activate

4. Install dependencies:

   pip install -r requirements.txt

Additional Files

Some additional files have been added to this repo:

.gitignore

Contains a list of files that will be produced when setting up the virutal environment and running code but which will not be tracked in git.

exc.py

Contains a custom exception used in __main__.py when the covid_cases table is not fresh.

queries/

A new directory that contains two SQL files with queries that are loaded in __main__.py.

Inquirer Data Engineering Candidate Exercise

In this exercise, you'll edit the __main__.py file to write some queries and tests against a database with historical COVID-19 case data.

Execution and Requirements

You can run the exercise with the following command:

python __main__.py

The execise does not require any external dependencies, and should run on Python 3.6 or greater.

Contents

This exercise contains two files:

__main__.py

You will be editing two functions in __main__.py:

• get_cases_7day_rolling_avg
• test_data_freshness

See the docstrings under these two functions for more detailed instructions.

database_loader.py

The main function in this module is named load_database, which performs the following steps:

1. Creates a sqlite database, and a table named covid_cases in that database.
2. Loads the table covid_cases with U.S. state-level data on COVID-19 cases from the New York Times.
3. Performs a data validation check against the data in covid_cases

Data Dictionary

covid_cases

• date (text): The reported date for the data (in YYYY-MM-DD format).
• state (text): The name of the U.S. state, district, or territory.
• cases (integer): The number of new cases of Covid-19 reported that day, including both confirmed and probable.
• deaths (integer): The total number of new deaths from Covid-19 reported that day, including both confirmed and probable.

Note that, due to sqlite limitations, the columne date has data type text; however, the data validation step checks that date only contains properly-formatted values.