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You want to create a dashboard showing monthly sales trends and category sales distribution side by side. Which combination of visualization types and aggregations should you use?

hard🚀 Application Q15 of Q15
Elasticsearch - Kibana and Visualization
You want to create a dashboard showing monthly sales trends and category sales distribution side by side. Which combination of visualization types and aggregations should you use?
ABar chart with avg aggregation for trends, data table with max aggregation for categories
BData table with sum aggregation for trends, bar chart with avg aggregation for categories
CPie chart with date_histogram aggregation for trends, line chart with terms aggregation for categories
DLine chart with date_histogram aggregation for trends, pie chart with terms aggregation for categories
Step-by-Step Solution
Solution:
  1. Step 1: Choose visualization for monthly trends

    Line chart is best for showing trends over time; date_histogram groups data by month.
  2. Step 2: Choose visualization for category distribution

    Pie chart shows parts of whole; terms aggregation groups by category.
  3. Final Answer:

    Line chart with date_histogram aggregation for trends, pie chart with terms aggregation for categories -> Option D
  4. Quick Check:

    Trends = line + date_histogram; categories = pie + terms [OK]
Quick Trick: Trends = line + date_histogram; parts = pie + terms [OK]
Common Mistakes:
MISTAKES
  • Mixing pie chart with date_histogram aggregation
  • Using avg or max aggregation for category grouping
  • Choosing data table instead of visual charts

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