Pizza Sales Dashboard

This is a detailed report about a guided project I saw and followed online. In this project, I did the following: Data cleaning and prepping in Power BI, Data analysis and Data Visualization in Power BI

Boluwatifeamondi
3 min readSep 8, 2023

QUICK LINKS :Tutorial, Dataset, Dashboard

TABLE OF CONTENT

1. Introduction

2. Process: Data cleaning, Data prepping & Data visualization

3. Overview of the dashboard

4. Finished Project

5. Insights

6. What I learned

7. Conclusion

Introduction:
This is a guided project that was posted by Data Tutorials on YouTube. The project focuses on a pizza sales dataset where I am tasked to analyze in order to derive insights for the company.

Goal: Learn something new and advance in my knowledge of Power BI

Process:

Data cleaning:

After successfully importing the dataset into Power BI, I decided to glance through the data just to better understand it and then I check for outliers, null values, blanks rows and many more. I also ensured the data type of each column corresponds with the data inputted in it.

Data prepping:

After cleaning the dataset, I focus solemnly on the insights I could derive from the dataset and I did so by asking business related questions like:

· What is the Total Revenue

· What is the Total Average Value

· The Total Pizza Sold

· The Total Orders

· Average Pizza by Order

· Daily Trends for Total Order

· Monthly Trends for Total Order

· Percentage of sales by category

· Percentage of sales by Pizza Size

· Total pizza sold by category

· Top 5 pizza by Revenue

· Bottom 5 pizza by Revenue

· Top 5 pizza by quantity

· Bottom 5 pizza by quantity

· Top 5 pizza by total orders

· Bottom 5 Pizza by total orders

Then I used SQL to retrieve the answer to the questions.

After successfully prepping the data, I decided to visualize the data.

Data visualization:

After successfully prepping the data, I decided to visualize my insights based on the questions I had ask but before I did that, I did a sketch of What I wanted each insights to represent and which charts I should use to represent them. I also did a quick sketch on what the dashboard would look like.

After visualizing the data I did the following things:

· Represented certain information using KPIs

· Visualized the data using charts in Power BI

· Designed the dashboard using Tiled containers and chart.

Overview of the dashboard:

The dashboard includes the following:

· A title

· KPIs

· Filters

· Charts and

· Insight

Finished Project:

PIZZA SALES DASHBOARD 1
PIZZA SALES DASHBOARD 2

Insights:

Below are general insights from this dashboard:

· Orders are its maximum during weekdays Friday/Saturday.

· There are maximum orders January and July.

· Classic pizza has the highest sales and orders.

· The Highest sales by sales is the large size pizza.

· The Thai Chicken pizza has the highest sales by revenue

· The Classic Deluxe pizza has the highest total orders.

· The Classic Deluxe pizza has the highest sales by quantity

· The Brie Carre pizza has the least sales by revenue.

· The Brie Carre pizza has the least total orders.

· Brie Carre pizza has the least sales by quantity.

What I learned:

· Calculating and organizing your KPI’s using SQL and comparing with Power BI

· How to Insert Images

· How to use Text Box

· How to use shapes

Conclusion:

I must say that the guided project was really informative and I really learnt a lot. I think I will be using Text box from now on and I want to thank Data Tutorials for this amazing project, it was definitely easy to follow and exciting.

--

--

Boluwatifeamondi
Boluwatifeamondi

No responses yet