Happy to share this dashboard which shows some analysis about transactions within a bakery in 2017.
Project Processes:
1 - Data Collection: I downloaded the dataset file from kaggle in csv.
2- Data Exploratory : Understand the data, and what is it talking about, and the content of every column.
3- Data Cleaning : Check blanks and duplicates, and normalize date column.
4- Data Analysis: Create measures to have insights about total transactions, total items sold, and average number of transactions per month.
Also, I extracted the relationship between the pairs of sold items in what is called the "Frequency Co-occurrence"
5- Data Visualization : Finally, I created an interactive dashboard which shows the findings in a visual form.
Software Used:
1- MySQL Workbranch : For data exploratory, and data cleaning processes.
2- Power BI Desktop : For data transformation, data analysis, and data visualization by creating an interactive dashboard.
Feel free to download the project files from this link: https://github.com/ahmeds...
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اسم المستقل | Ahmed S. |
عدد الإعجابات | 0 |
عدد المشاهدات | 66 |
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