Overview This project involves leveraging Power BI for data analysis in the hospitality domain. By following the steps outlined below, you can explore, clean, and visualize the provided dataset to create an insightful dashboard tailored to specific needs.
Steps
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Open Power BI Begin by launching Power BI, ensuring you have the necessary version installed.
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Load the Dataset Load the provided dataset into Power BI. Include detailed instructions on how to import the dataset, specifying file format and location.
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Transform Data and Remove Anomalies Perform data transformation to ensure the dataset is clean and free of anomalies. Clearly outline the steps taken to clean the data, including any specific transformations or filters applied.
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Use Star Schema for Mapping Tables Implement a star schema by mapping tables using common columns. Explain the rationale behind choosing the star schema and detail the relationships established between the tables.
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DAX Implementation a. Calculated Columns Utilize Data Analysis Expressions (DAX) to create calculated columns. Clearly define the purpose and logic behind each calculated column, highlighting their significance in the analysis.
b. Measures Implement DAX measures to derive meaningful insights from the dataset. Explain the rationale behind choosing specific measures and their relevance to the hospitality domain.
- Dashboard Creation Develop a comprehensive dashboard that aligns with the specified requirements. Include visualizations, charts, and any interactive elements that provide a clear representation of the analyzed data.
Final look of the dashboard -
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent