#GamesNightViz is a 6-weekly Tableau community project focusing on using data from your favourite games to improve your skills with data visualisation, data preparation and visual design
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Updated
Mar 21, 2023 - R
#GamesNightViz is a 6-weekly Tableau community project focusing on using data from your favourite games to improve your skills with data visualisation, data preparation and visual design
The objective of the project was to create innovative and interactive Tableau dashboards that focus on potential commodities, countries, year, trade amount and quantity. The client wanted to launch a new business unit, focusing on global trade and logistics, majorly in the countries such as USA, Canada and Australia The dataset provided by the c…
Documentation relating to the Tableau Public API. Coded functions, and practical examples to follow
Example Tableau calculated fields, workbooks, data extracts, data sources, and map sources
Board games analysis & Tableau visualizations. 🎲
How Can a Wellness Technology Company Play It Smart? A Google Data Analytics Professional Certificate Capstone Project.
Functions to communicate with Tableau services
An analysis of the time spending habits of American consumers.
Case Study Of Bike Company
Developing a Recommender System for Customers in a Scan and Go store using Apriori Algorithm in Market Basket Analysis
The main objective of this project is to build a model to identify whether the delivery of an order will be late or on time.
2018-07 Road trip through western US states with analysis of data captured via Tesla API
A collection of code and queries used to analyze my online chess games
Using a dimensional model, data warehouse, and Tableau I explored data from the College Scorecard and NCAA Division I FBS football games 🏈
Portfolio of my data visualisation skills You can check out my all documents for various data visualisation plots. You will find various kind of plots from histograms to bubble plots to waffle plot to various graohs. I encourage you to look into the files
This project aims to analyze trends in the Paycheck Protection Program and to generate predictive models based on demographics to predict the likelihood of receiving a loan.
This project aims to let viewers learning about unicorn companies and their trends through the magazine's storytelling style.
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