data etl using python project
Budget: ₹600 – ₹1,500 INR
1. Part
- Create a Python script that will get 1000 or more radnom users from https://random-
data-api.com/documentation (Users) in json format
- Save results about users in CSV file
2. Part
- Read the CSV file you created in part one and load the data in the database of your
choice.
- Create a query/algorithm that will find the most common user properties, and return
them as a result.
- Create a query/algorithm that will find any similarities between users, that would
suggest a "strong" or “weak (fuzzy)” connection between any 2 or more users IF that
type of connection exists in the database.
- Create visualization representation of results with Matplotlib.
- Create a Python script that will get 1000 or more radnom users from https://random-
data-api.com/documentation (Users) in json format
- Save results about users in CSV file
2. Part
- Read the CSV file you created in part one and load the data in the database of your
choice.
- Create a query/algorithm that will find the most common user properties, and return
them as a result.
- Create a query/algorithm that will find any similarities between users, that would
suggest a "strong" or “weak (fuzzy)” connection between any 2 or more users IF that
type of connection exists in the database.
- Create visualization representation of results with Matplotlib.