This repository contains a jupyter notebook with a Python runtime environment. The notebook leverages tools like matplotlib
and pandas
to create visualisations of a set of transactions
VARIABLE | Description |
---|---|
ARANGO_HOST |
Where your database is hosted |
ARANGO_DATABASE |
The name of the database where the collection resides |
ARANGO_USER |
Database auth user |
ARANGO_PASSWORD |
Password for the ARANGO_USER variable |
PREVIOUS_BEST_COUNT |
Count of previous best transactions to compare with |
SQL_HOST |
SQL host endpoint |
SQL_DB |
Name of SQL database |
SQL_USER |
SQL auth user |
SQL_PASS |
Password for SQL_USER |
SQL_DRIVER |
Name of the SQL driver currently in use |
Important
You may need to update the notebook to be compatible with your SQL driver. The notebook is using pyodbc
A Dockerfile
has been provided that spins up a minimal Jupyter stack:
docker build .