Data Exercise
Budget: £10 – £60 GBP
1. Check out the revenue by year for each product of the manufacturer. Look for unusual spikes. Pick one and drill down to investigate possible reasons and main contributors.
2. Select one country and investigate the data. Look at years, cities, or states in their manufactures. Find unusual patterns, problems, and insights.
3. Check the dataset for spikes and gaps in data. How would you approach manufacturers to fix it, what would be assumptions and suggestions for the data set (you don't need to fix it, just outline possible approaches internally and externally)
We would like you to create a presentation with charts and other visuals that you find relevant. require a dashboard in Power BI
2. Select one country and investigate the data. Look at years, cities, or states in their manufactures. Find unusual patterns, problems, and insights.
3. Check the dataset for spikes and gaps in data. How would you approach manufacturers to fix it, what would be assumptions and suggestions for the data set (you don't need to fix it, just outline possible approaches internally and externally)
We would like you to create a presentation with charts and other visuals that you find relevant. require a dashboard in Power BI