Tableau Data Visualization Project ๐
Tableau Data Visualization Project ๐
This page showcases a collection of interactive Tableau dashboards ๐ฅ๏ธ built during my Data Technician Bootcamp ๐, turning raw datasets ๐๏ธ โ from global health statistics ๐ to employment trends ๐ผ โ into clear, explorable visuals โจ. Each project focuses on the same goal: taking numbers that mean little on their own ๐ข and shaping them into something a real audience can use to spot patterns ๐, compare groups, and make better-informed decisions ๐ฏ.ย
I created an interactive GB Employment Data dashboard to analyse employment levels and changes across different UK cities and industries. ๐ The dashboard compares employment numbers by city, with London showing the highest employment figure at 4,678,066 in 2014. ๐ The visualisations also highlight changes across sub-industries, including Real Estate Activities (65,387), Services to Buildings and Landscape Activities (51,691) and Human Health Activities (43,316). ๐บ๏ธ A geographical map was used to visualise the average percentage change by city, making it easier to identify differences in employment patterns across the UK.
๐ก Key focus: Using data visualisation to turn employment statistics into clear, accessible insights and support better understanding of regional and industry-level employment trends.
I created an interactive Global Health Insights dashboard in Tableau to explore health trends and differences across countries and continents. ๐ The dashboard visualises life expectancy, BMI, population by gender and blood pressure, using a combination of bar charts, pie charts, scatter plots and line charts. ๐ Interactive filters allow users to explore the data by country, continent, gender and year, making it easier to compare different groups and identify trends. ๐ The Life Expectancy Trend visualisation shows changes over time, while the Life Expectancy vs BMI scatter plot explores the relationship between two health indicators.
๐ก Key focus: Using data visualisation and storytelling to turn complex global health data into clear insights that can support better decision-making and resource planning.