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TwitterThis dataset was created by Derrick Mallison
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TwitterSummarize big data with pivot table and charts and slicers
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TwitterThe link for the Excel project to download can be found on GitHub here.
It includes the raw data, Pivot Tables, and an interactive dashboard with Pivot Charts and Slicers. The project also includes business questions and the formulas I used to answer. The image below is included for ease.
https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12904052%2F61e460b5f6a1fa73cfaaa33aa8107bd5%2FBusinessQuestions.png?generation=1686190703261971&alt=media" alt="">
The link for the Tableau adjusted dashboard can be found here.
A screenshot of the interactive Excel dashboard is also included below for ease.
https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12904052%2Fe581f1fce8afc732f7823904da9e4cce%2FScooter%20Dashboard%20Image.png?generation=1686190815608343&alt=media" alt="">
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TwitterAttribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
This dataset contains video game sales data prepared for an Excel data analysis and dashboard project.
It includes detailed information on:
Game titles
Platforms
Genres
Publishers
Regional and global sales
The dataset was cleaned, structured, and analyzed in Microsoft Excel to explore patterns in the global video game market. It can be used to:
Practice data cleaning and pivot tables
Build interactive dashboards
Perform sales comparisons across regions and genres
Develop business insights from entertainment data
🧩 File Information
Format: .xlsx (Excel Workbook)
Columns: Name, Platform, Year, Genre, Publisher, NA_Sales, EU_Sales, JP_Sales, Other_Sales, Global_Sales
💡 Use Cases
Excel dashboard and chart creation
Data visualization and storytelling
Business and market analysis practice
Portfolio or learning projects
👤 Prepared by
Adewale Lateef W — for data analysis and Excel dashboard learning purposes.
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TwitterThis dataset illustrates customer data from bike sales. It contains information such as Income, Occupation, Age, Commute, Gender, Children, and more. This is fictional data, created and used for data exploration and cleaning.
The link for the Excel project to download can be found on GitHub here. It includes the raw data, the cleaned data, Pivot Tables, and a dashboard with Pivot Charts and Slicers for interaction. This allows the interactive dashboard to filter by Marital Status, Region, and Education.
Below is a screenshot of the dashboard for ease.
https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12904052%2Fcbc9db6fe00f3201c64e4fdb668ce9d1%2FBikeBuyers%20Dashboard%20Image.png?generation=1686186378985936&alt=media" alt="">
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Facebook
TwitterThis dataset was created by Derrick Mallison