ptyadana / Tableau_2020_A-Z_Hands-On

Tableau Projects for data analysis, data analytics and data visualaization on different data sets

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About The Project

Compilation of Tableau projects for data analysis, data analytics and data visualization.

Built with

  • Tableau Desktop

Live Demo

Project Screenshot

Datasets

Analyzing the following datasets

  • SuperStore
  • Office Supplies
  • Long-Term-Unemployment-Statistics
  • Amazing Mart EU
  • Airline-Comparison
  • UK Bank Customers
  • Personal Vehicle SalesGlobal

For exploring the following questions and points.

Super Store

  • Profits by States : What were the profits and losses of Sales across Regions?
  • Total Sales by SalesRep: Who was the best SalesRep per Region? This is for Annual Bonus Analysis. US Unemployment Data
  • US Unemployment by Gender : What was the long term unemployment between different Genders?
  • US Unemployment by Age Groups : What was the long term unemployment across different Age Groups?

Amazing Mart EU

  • Profit Margin by Countries: What was the profit margin for countries over year?
  • Profit Margin per Customer: What was the profit margin per each customer?
  • Profit Margin Dashboard

Airline Data

  • Airlines Revenue Comparison: What were the revenues for two different airlines?
  • Sales Vs Target by Categories : What are Sales Vs Target by each Category?
  • Excess of Target by Category : Which Category exceeds or short of Target Sales?

UK Bank Customers

  • UK Bank Customers - Gender Distribution
  • UK Bank Customers - Age Distribution
  • UK Bank Customers - Balance Distribution
  • UK Bank Customers - Job Classifications
  • UK Bank Customer Dashboard
  • Insights for UK Bank Customer represented with Storyline.
  • Popularity of Bank by % of customer by region?
  • Which region of customer are richest?
  • Are customer white color job wealthier than blue or other color jobs?
  • Which Region comes the wealthier customer?

Laundry Pick up service startup

  • Identify which of the two sales regions is performing better (outperforms the other in 2 of 3 metrics)
  • a) AVG Revenue per city
  • b) AVG Marketing spend per city (less is better)
  • c) AVG ROMI per city (revenue / marketing spend)
  • Identify which of the 10 new locations have the best potential for the company to invest more funds into marketing.

  • New York City Park & Incidents Analysis

New York State Salary Analysis

  • Average Annual Salary by County dispalyed on a map
  • Top 5 highest earning industries by County
  • Time series analysis of average annual salary by County

Acknowledgements

License

This project is licensed under the MIT License - see the LICENSE.md file for details

About

Tableau Projects for data analysis, data analytics and data visualaization on different data sets

https://public.tableau.com/profile/phonethiriyadana#!/

License:MIT License