Coffee Shop Dashboard
Business Task
Transform data into a interactive dashboard for franchise owners to use to make decisions for their branch of the coffee shop.
Data Sources Used
For this project, I used the Coffee Shop Sales data from Maven Analytics. The data is organized in an excel spreadsheet.
![](https://static.wixstatic.com/media/11062b_7063ab47866449899e537ba3e7fa8808~mv2.jpg/v1/fill/w_427,h_283,al_c,q_80,usm_0.66_1.00_0.01,enc_avif,quality_auto/11062b_7063ab47866449899e537ba3e7fa8808~mv2.jpg)
Column Titles
transaction_id, transaction_date, transaction_time, transaction_qty, store_id, store_location, product_id, unit_price, product_category, product_type.
Cleaning and Organizing the Data
The first thing that I did was to check for missing and duplicate data. I then checked to make sure that the date format was consistent and there were no extra spaces in the data. Next I added a column to calculate the revenue found by multiplying the price by the quantity.
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After calculating the revenue, I added new columns to calculate the month, day of the week, and hour that a transaction occurred.
Pivot Tables and Dashboard
I started out creating different pivot tables for revenue such as revenue by month, by day of the week and by hour. I then looked at the number of transactions by product category. Finally, I created a pivot table for the revenue and transaction quantity for the top 15 products.
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After creating my pivot tables, I started to work on my dashboard to create visualizations for the different pivot tables along with a slicer so franchise owners could focus on their own store when looking at the dashboard.
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![pivot tables.JPG](https://static.wixstatic.com/media/0f23e7_8f8b7936836e480bb9c524a9135c5301~mv2.jpg/v1/fill/w_478,h_415,al_c,q_80,usm_0.66_1.00_0.01,enc_avif,quality_auto/pivot%20tables_JPG.jpg)