Problem Statement 1: Objective: Data Transformations Use Case: Design a dashboard to analyze the trend of admissions into state universities. Source: USA StateUniversity Admissions Analytics: Use Query Editor to perform data modeling by applying transformations like,
- Append Data
- Split Data
- Column Formatting
- Fill Columns
- Transpose Table
- Pivot / Unpivot
- Merge Join
- Conditional Columns
- Index Columns
- Summary Tables
Problem Statement 2: Objective: Advanced Visualizations. Use Case: Design a dashboard to analyze the trend of admissions into state universities. Source: USA StateUniversity Admissions Analytics: Use expressions and filters to build custom visualizations
Dashboard - Applications Analysis
- Total Applications vs. Target Trend by State
- Total Application by State Geo Dashboard
- Tabular presentation of universities and funds
- % of Applications by Race
Dashboard - Universities Analysis
- Top 10 Universities by Applications
- Top 10 Universities by Applications with and without Special Grants
- Bottom 10 Universities by Applications
- Percentage of Applications vs. Universities Fund Allocations
Problem Statement 3: Use Case: Top Down and Bottoms Up Analysis to identify shipping costs leakages Source: Superstore sales Analytics: Build a set of visualizations to identify underlying outliers and flip the same set of visualizations to perform bottom up analysis.
Top Down Analysis
- Shipping Costs by Order Priority - Bar Chart
- Shipping Costs by Shipping Mode - Funnel Chart
- Shipping Costs by Customers - Scatter Plot
- Transactional view of underlying data
Bottom Up Analysis
- Duplicate above dashboard and change interactions .
- Replace Transactional View with Donut and Scatter Plot with Tree map.



