Basketball Data Visualisation Expert Needed
Budget: $250 – $750 AUD
I'm seeking a Python specialist to assist me in visualising textual data related to basketball. The data pertains to players and statistics across all 30 NBA teams.
- Data Cleaning & Sorting: The initial step will involve cleaning and sorting the data to ensure it's ready for visualisation.
- Data Visualisation: Using Python, you'll create visual representations of the data to uncover trends, patterns, and insights.
Ideal candidates should have:
- Profound knowledge of basketball and its statistics
- Extensive experience with Python, particularly in data cleaning and visualisation
- Ability to deliver clear, insightful visual representations of complex data sets
The way this should work is:
my idea is to create like a pdf document. In this pdf, I should see a list of 30 teams
For each team I should read some brief info like - team strenghts, weaknesses, main players, etc
Then we list maybe 5-6 players from that team, then we display expectation of that players against certain teams - for example player D. Bane is likely to dominate in points / reb / ass against team1, 2, 3... etc
but will struggle against team 4, 5, 6, etc
so we do the same process for each team and their players.
Please text me if you can help me!
- Data Cleaning & Sorting: The initial step will involve cleaning and sorting the data to ensure it's ready for visualisation.
- Data Visualisation: Using Python, you'll create visual representations of the data to uncover trends, patterns, and insights.
Ideal candidates should have:
- Profound knowledge of basketball and its statistics
- Extensive experience with Python, particularly in data cleaning and visualisation
- Ability to deliver clear, insightful visual representations of complex data sets
The way this should work is:
my idea is to create like a pdf document. In this pdf, I should see a list of 30 teams
For each team I should read some brief info like - team strenghts, weaknesses, main players, etc
Then we list maybe 5-6 players from that team, then we display expectation of that players against certain teams - for example player D. Bane is likely to dominate in points / reb / ass against team1, 2, 3... etc
but will struggle against team 4, 5, 6, etc
so we do the same process for each team and their players.
Please text me if you can help me!