This document further analyzes data on regions, stores and products.
You can view the gross margin according to the map.
1. Drag the field City into the field Province.
2. Click the icon next to the field Province and choose Geographic Role > Province/City/Autonomous Region from the drop-down list. Click the icon next to the field City and choose Geographic Role > City from the drop-down list.
3. Set Chart Type to Area Map.
4. Drag the longitude field into Horizontal Axis and the latitude field into Vertical Axis to generate a map.
For details, see Area Map.
You can set map component styles as needed.
1. Drag the field Gross Margin into Color in Graphic Property and click Color to set the gross margin value to different colors for differentiation.
2. Drag the fields Province and Gross Margin into Label in Graphic Property and click Label to set Label Display to Max/Min.
According to the previous document, anomalous data exists in August. Therefore, you can filter the August data in the result filter for analysis.
The gross margin in Hunan Province in August is the lowest in the country, at only 0.65%.
If you drill down the gross margin data from the province level to the city level, you will find that Changsha City in Hunan Province shows a negative value.
Based on the above analysis, you can filter Changsha City data to identify the cause further.
You can create the Store Gross Margin Analysis component by copying the Regional Gross Margin Analysis component, retaining its original filter conditions, and adding another filter condition for Changsha City.
Based on the above analysis, you can filter the Changsha Meixihu Store data to identify the cause further.
1. Product type quadrant analysis
2. Product name quadrant analysis
Based on the product type quadrant analysis, you will find that anomalous data exists in the Snack type.
You can directly copy the above component, filter the data for Product Type as Snack, and replace the indicator field Product Type with Product Name.
After following the steps in this document, you can go to the next document Abnormal Order Monitoring for further learning.
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