- I got the dataset from one of the data challenges hosted on LinkedIn which is regarding "Sales Analytics".
- The dataset includes details about Product-wise analysis, Geographic analysis and Time Wise analysis.
- With respect to the given dataset, I prepared data in MS Excel and added extra columns which are Order Time, City and Sales using "Flash command" and "Sales" which is a multiplication of "Quantity Ordered" and "Price Each".
- After understanding the data, I used 3 KPIs on which I analysed the dataset which were: Product-Wise Analysis, Geographic Analysis and Time-Wise Analysis
- At first, I used Figma to create the layout for report.
- Then, I used Power BI for creating report or dashboard.
- 2019 is the best year for sales and sales in that year is 34 million.
- San Francisco has the highest number of sales overall among all cities.
- Between 11:00 a.m. and 1 p.m. & between 6 p.m. and 7 p.m. most number of products were ordered.
- MacBook Pro Laptop is sold the most among all products
- December month has the highest amount of sales which is around 11.3% of the total sales.
Overall, it was a good dataset to analyze and gave a good practice over storytelling and visualization.