Develop and describe a geographic visualization in power bi

Reference no: EM133714674 , Length: word count:2000

Question 1: Describe the steps you would take to merge the cleaned_Location.xlsx and cleaned_Budget.csv datasets in Power BI. What key factors must you consider to ensure data integrity?

1B: Using the merged dataset, create a visualization in Power BI that displays the correlation between budget allocations and property price changes over time. Explain how your visualization can be interpreted.

Question 2:

2A: Explain how you would assess the accuracy of sales forecasts using the cleaned_Forecast.csv and cleaned_dim_tables_final.xlsx datasets. What specific Power BI functionalities would you use?

2B: Develop and describe a geographic visualization in Power BI that highlights sales distribution and high-performing regions. Include details on any filters or slicers you would add to enhance interactivity.

Question 3:
3A: What variables have been included in this synthetic dataset for simulating tourism data? Can you briefly explain each one?

3B: Create a dynamic map in Power BI using your synthetic dataset that shows tourism density and its economic impact on local economies. Describe how you would set up this visualization to provide insights into peak times and spending patterns.

Question 4:

4A: Discuss how you would analyze customer demographics, purchasing patterns, and profitability using the synthetic transaction data. What analytical techniques would you apply?

4B: Design a dashboard in Power BI to visualize distinct customer segments based on profitability and purchasing behavior. Explain how each element of the dashboard contributes to understanding customer segments.

Question 5:
5A: Describe the process you would use in Power BI to cleanse and prepare a complex dataset for analysis. What challenges might you encounter and how would you address them?

5B: Prepare a presentation in Power BI to showcase findings from one of the datasets provided. Explain how you would use narrative elements and annotations to guide viewers through your analysis.

Reference no: EM133714674

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