“Create a dashboard that can help analyze the sales patterns across stores and their departments.
Dashboard should contain:
1. A (Month, Year) filter.
2. A user control to select either one of the five markdowns or total markdown.
These controls should work across the entire dashboard. 
A dual-axis visualization showing sales & markdowns by week. It should be divided into three parts, showing results by three store types €“ hypermarkets, discount stores, and neighborhood stores. Sales during holiday weeks should be colored differently from sales during non-holiday weeks. 
A dual-axis visualization showing sales & markdowns by store. It should be divided into three parts, showing results by three store types €“ hypermarkets, discount stores, and neighborhood stores. 
A visualization showing top 5 departments by sales within each store, within the three store types. User should be able to see €˜Store Type€™, €˜Store€™, €˜Department€™, €˜Store Sales€™, and €˜Department Sales€™ within the tooltip for each department. 
Two Action Filters:
1. Source: Visualization 1, Target: Visualization 2, Visualization 3.
2. Source: Visualization 2, Target: Visualization 3 
Finally, create a story providing any three interesting insights drawn from visualizations in the dashboard, while focusing your analysis around the four holiday weeks. 
There are three tabs in the Retail.xlsx excel file €“ Stores, Sales, and MarkDowns. Relevant
information about the columns in these tabs is given below:
o Type – the type of store (A – hypermarket, B €“ discount store, C €“ neighbourhood store) o Size – the size of store (in square feet)
o Dept – the department number
o Weekly_Sales – net weekly sales for the given department in the given store o IsHoliday-whethertheweekisaholidayweek
o MarkDown1-5 – five different promotional markdown types. Data in these columns correspond to absolute markdown values. Markdown rates (discount percentages) are not given. Additionally, these markdown values are not available for all stores all the time. Any missing value is marked with a 0