There was chosen rather interesting dataset to visualize from open source. At first sight there is nothing to interest a user, but more curious things was founded by each stage of working. Dataset was full of different metrics.
First and the most important step of working with data is cleaning and forming it to reach peak of productivity.
The file contains two page, the first is title and the second one is visual elements for different parameters.
Cannot help noticing informative style was chosen. The second page consists next elements:
- profit by product category
- profit by gender
- product price by category
- category rating
- profit with tax percent by months
- sorted amount of buyers in categories
The main mission of each dashboard is to give a user full representation of data. This visualization completed the mission with excellence.
During the analysis were made the next conclusions:
- The highest product cost in "Fashion accessories" category is 10 173,35 rubles
- Male gender prevails in "Electronic accessories", "Home and lifestyle" and "Health and beauty" categories The difference of prevail is 1.7%
- The most profitable categories according to the months: January: Sports and travel | February: Food and beverages | March: Home and lifestyle
