Line charts in Tableau - Dashboard Guide

Dashboard Mode - Line charts

Dashboard Goal

Track monthly sales trends over one year to see how sales change month by month.

Sample Data

Month	Sales
Jan	1000
Feb	1200
Mar	900
Apr	1400
May	1300
Jun	1500
Jul	1600
Aug	1700
Sep	1650
Oct	1800
Nov	1750
Dec	1900

Dashboard Components

• KPI Card: Total Sales
  Formula: SUM([Sales])
  Result: 18,700
• Line Chart: Monthly Sales Trend
  X-axis: Month (Jan to Dec)
  Y-axis: Sales
  Marks: Line connecting monthly sales points
  Purpose: Shows how sales increase or decrease each month

Dashboard Layout

+----------------------+-----------------------+
|      Total Sales      |   Monthly Sales Trend  |
|      (KPI Card)       |      (Line Chart)      |
+----------------------+-----------------------+

Interactivity

A filter for Year can be added (if multiple years exist). Selecting a year updates both the Total Sales KPI and the Monthly Sales Trend line chart to show data only for that year.

Self Check

If you add a filter for Month = "Jun" to "Aug", which components update and what do they show?

• Total Sales KPI: Updates to show sum of sales for Jun, Jul, and Aug (1500 + 1600 + 1700 = 4800).
• Monthly Sales Trend Line Chart: Updates to show only points for Jun, Jul, and Aug, connected by a line.

Key Result

A dashboard showing total yearly sales and a line chart of monthly sales trends.

Practice

1. What is the primary purpose of a line chart in Tableau?

easy

A. To show trends over time or ordered data

B. To display proportions of categories

C. To compare individual values without order

D. To show relationships between two categorical variables

Solution

1. Step 1: Understand line chart usage

   Line charts are designed to show how data changes over time or ordered sequences.

2. Step 2: Compare with other chart types

   Other charts like pie or bar charts serve different purposes such as proportions or category comparisons.

3. Final Answer:

   To show trends over time or ordered data -> Option A

4. Quick Check:

   Line charts = trends over time [OK]

Hint: Line charts = trends over time or ordered data [OK]

Common Mistakes:

• Confusing line charts with pie charts
• Using line charts for categorical comparisons
• Ignoring the order or time aspect

2. Which of the following is the correct way to create a continuous line chart in Tableau?

easy

A. Drag a continuous date field to Columns and a measure to Rows

B. Drag a measure to Columns and a dimension to Size

C. Drag a dimension to Rows and a measure to Color

D. Drag a discrete date field to Columns and a measure to Rows

Solution

1. Step 1: Identify continuous date usage

   Continuous date fields create smooth, connected lines in Tableau.

2. Step 2: Understand discrete vs continuous

   Discrete dates create separate marks; continuous dates create a continuous axis for line charts.

3. Final Answer:

   Drag a continuous date field to Columns and a measure to Rows -> Option A

4. Quick Check:

   Continuous date + measure = line chart [OK]

Hint: Use continuous date fields for smooth lines [OK]

Common Mistakes:

• Using discrete dates for line charts
• Placing dimensions on Color instead of axis
• Confusing measure placement

3. Given a dataset with sales over months, what will happen if you drag Order Date (continuous) to Columns and SUM(Sales) to Rows in Tableau?

medium

A. A bar chart with sales for each month

B. A pie chart showing sales proportions

C. A scatter plot of sales vs. months

D. A smooth line chart showing sales trend over months

Solution

1. Step 1: Analyze continuous date on Columns

   Continuous dates create a continuous axis, ideal for line charts.

2. Step 2: Analyze SUM(Sales) on Rows

   SUM(Sales) aggregates sales values to plot points connected by lines.

3. Final Answer:

   A smooth line chart showing sales trend over months -> Option D

4. Quick Check:

   Continuous date + SUM(Sales) = line chart [OK]

Hint: Continuous date + measure = smooth line chart [OK]

Common Mistakes:

• Expecting bars instead of lines
• Confusing continuous with discrete dates
• Misinterpreting aggregation effect

4. You created a line chart but see disconnected points instead of a line. What is the most likely cause?

medium

A. Using a continuous date field on the Columns shelf

B. Using a discrete date field on the Columns shelf

C. Placing a measure on Color instead of Rows

D. Not aggregating the measure

Solution

1. Step 1: Identify effect of discrete date

   Discrete dates create separate marks for each date, causing disconnected points.

2. Step 2: Contrast with continuous date

   Continuous dates create a continuous axis, connecting points with lines.

3. Final Answer:

   Using a discrete date field on the Columns shelf -> Option B

4. Quick Check:

   Discrete date = disconnected points [OK]

Hint: Discrete dates cause disconnected points [OK]

Common Mistakes:

• Assuming continuous dates cause disconnected points
• Ignoring aggregation importance
• Misplacing measures on Color

5. You want to compare sales trends for multiple product categories over time in one line chart. Which approach is best in Tableau?

hard

A. Place Category on Columns, continuous Order Date on Rows, and SUM(Sales) on Label

B. Place discrete Order Date on Columns, Category on Rows, and SUM(Sales) on Size

C. Place continuous Order Date on Columns, SUM(Sales) on Rows, and Category on Color

D. Place continuous Order Date on Rows, Category on Color, and SUM(Sales) on Tooltip

Solution

1. Step 1: Use continuous date for smooth time axis

   Continuous Order Date on Columns creates a smooth timeline axis.

2. Step 2: Use SUM(Sales) on Rows for measure values

   SUM(Sales) on Rows plots sales values vertically.

3. Step 3: Use Category on Color to separate lines

   Category on Color differentiates multiple lines by color for easy comparison.

4. Final Answer:

   Place continuous Order Date on Columns, SUM(Sales) on Rows, and Category on Color -> Option C

5. Quick Check:

   Continuous date + measure + color by category = multi-line chart [OK]

Hint: Use color to separate lines by category [OK]

Common Mistakes:

• Using discrete dates causing broken lines
• Placing category on Rows instead of Color
• Not using continuous date for time axis