Why combining chart types tells richer stories in Tableau - Dashboard Impact

Dashboard Mode - Why combining chart types tells richer stories

Business Question

How can combining different chart types help us understand sales performance better?

Sample Data

Month	Sales	Profit	Units Sold
January	10000	2500	150
February	12000	3000	180
March	9000	2000	130
April	15000	4000	210
May	13000	3500	190
June	16000	4500	220

Dashboard Components

• KPI Card: Total Sales
  Formula: SUM([Sales])
  Result: 75000
• KPI Card: Total Profit
  Formula: SUM([Profit])
  Result: 19500
• Bar Chart: Sales by Month
  Shows sales values for each month as bars.
• Line Chart: Profit Trend
  Shows profit over months as a line to see trend.
• Combined Chart: Sales and Units Sold
  Bar for Sales and line for Units Sold on same axis to compare volume and revenue.

Dashboard Layout

+----------------------+----------------------+
|   Total Sales (KPI)  |   Total Profit (KPI) |
+----------------------+----------------------+
|                      Bar Chart: Sales by Month                      |
+--------------------------------------------------------------------+
| Combined Chart: Sales (Bar) & Units Sold (Line)                    |
+--------------------------------------------------------------------+
|                      Line Chart: Profit Trend                      |
+--------------------------------------------------------------------+

Interactivity

A month filter lets you select one or more months. When you select months, all charts and KPIs update to show data only for those months. This helps focus on specific periods.

Self Check

If you add a filter to show only April and May, which components update and what changes?

• Both KPI cards update to show total sales and profit for April and May only.
• Bar chart updates to show sales bars for April and May.
• Line chart updates to show profit trend for April and May.
• Combined chart updates to show sales and units sold for April and May.

Key Result

Dashboard showing sales, profit, and units sold by month using combined chart types for richer insights.

Practice

1. Why is combining different chart types in Tableau useful for storytelling?

easy

A. It automatically cleans the data for better accuracy.

B. It reduces the amount of data needed for analysis.

C. It shows multiple data perspectives in one view, making insights clearer.

D. It hides less important data to simplify the dashboard.

Solution

1. Step 1: Understand the purpose of combining charts

   Combining charts allows showing different aspects of data together, like trends and totals.

2. Step 2: Recognize how this helps storytelling

   Showing multiple perspectives in one view helps users understand the full story behind the data.

3. Final Answer:

   It shows multiple data perspectives in one view, making insights clearer. -> Option C

4. Quick Check:

   Combining charts = richer story [OK]

Hint: Think: multiple views = clearer story [OK]

Common Mistakes:

• Confusing data cleaning with visualization
• Assuming combining charts hides data
• Believing it reduces data volume

2. Which Tableau feature allows you to layer two different chart types on the same axis?

easy

A. Filter Action

B. Data Blending

C. Calculated Field

D. Dual Axis

Solution

1. Step 1: Identify the feature for layering charts

   Dual Axis lets you put two charts on the same axis to compare them directly.

2. Step 2: Confirm other options don't layer charts

   Data Blending combines data sources, Calculated Field creates new data, Filter Action filters views.

3. Final Answer:

   Dual Axis -> Option D

4. Quick Check:

   Layer charts = Dual Axis [OK]

Hint: Layer charts? Use Dual Axis [OK]

Common Mistakes:

• Confusing data blending with layering charts
• Thinking calculated fields layer charts
• Mixing filter actions with layering

3. Given a Tableau dashboard with a bar chart showing sales and a line chart showing profit on a dual axis, what is the main benefit?

medium

A. It hides the profit data to focus on sales only.

B. It allows comparing sales and profit trends on the same timeline.

C. It duplicates the sales data for emphasis.

D. It automatically changes the data source.

Solution

1. Step 1: Understand dual axis with bar and line charts

   Dual axis lets you see two measures (sales and profit) together on the same timeline.

2. Step 2: Recognize the benefit of comparing trends

   This helps spot relationships or differences between sales and profit over time.

3. Final Answer:

   It allows comparing sales and profit trends on the same timeline. -> Option B

4. Quick Check:

   Dual axis = compare trends [OK]

Hint: Dual axis shows two trends together [OK]

Common Mistakes:

• Thinking dual axis hides data
• Assuming data duplication occurs
• Believing data source changes automatically

4. You created a dual axis chart in Tableau but the two charts do not align properly. What is the most likely cause?

medium

A. The axes scales are not synchronized.

B. The data source is missing.

C. The filter is applied incorrectly.

D. The dashboard size is too small.

Solution

1. Step 1: Identify why dual axis charts misalign

   If axes scales differ, charts won't line up properly on the same axis.

2. Step 2: Check other options for relevance

   Missing data source or filter issues cause errors, not misalignment; dashboard size affects layout but not axis alignment.

3. Final Answer:

   The axes scales are not synchronized. -> Option A

4. Quick Check:

   Misaligned dual axis = unsynced scales [OK]

Hint: Sync axes scales to align charts [OK]

Common Mistakes:

• Blaming data source for alignment
• Confusing filter issues with axis scale
• Ignoring axis synchronization

5. You want to create a dashboard showing monthly sales as bars and cumulative sales as a line on the same chart. Which steps should you follow in Tableau to tell this richer story?

hard

A. Create bar chart for monthly sales, create line chart for cumulative sales, use Dual Axis, synchronize axes, and format clearly.

B. Create two separate charts and place them side by side without linking axes.

C. Use a pie chart for monthly sales and a scatter plot for cumulative sales on different dashboards.

D. Create a single bar chart and add cumulative sales as a tooltip.

Solution

1. Step 1: Build individual charts for monthly and cumulative sales

   Create a bar chart for monthly sales and a line chart for cumulative sales to show both details.

2. Step 2: Combine charts using Dual Axis and synchronize axes

   Use Dual Axis to layer charts on the same timeline and synchronize axes for alignment.

3. Step 3: Format charts clearly for easy understanding

   Adjust colors, labels, and legends to keep the visualization clear and accessible.

4. Final Answer:

   Create bar chart for monthly sales, create line chart for cumulative sales, use Dual Axis, synchronize axes, and format clearly. -> Option A

5. Quick Check:

   Dual Axis + sync axes + clear format = richer story [OK]

Hint: Dual Axis + sync axes + clear format [OK]

Common Mistakes:

• Placing charts separately without linking
• Using unrelated chart types for this story
• Relying on tooltips instead of combined view