Line charts in Tableau - Cell-by-Cell Formula Trace

Sample Data

Monthly sales data for the first five months of the year.

Cell	Value
A1	Month
B1	Sales
A2	Jan
B2	1000
A3	Feb
B3	1500
A4	Mar
B4	1300
A5	Apr
B5	1700
A6	May
B6	1600

Formula Trace

SUM([Sales]) OVER (ORDER BY [Month] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW)

Step 1: SUM([Sales]) OVER (ORDER BY [Month] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) at Jan

Step 2: SUM([Sales]) OVER (ORDER BY [Month] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) at Feb

Step 3: SUM([Sales]) OVER (ORDER BY [Month] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) at Mar

Step 4: SUM([Sales]) OVER (ORDER BY [Month] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) at Apr

Step 5: SUM([Sales]) OVER (ORDER BY [Month] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) at May

Cell Reference Map

    A       B
1 | Month | Sales |
2 |  Jan  | 1000  |
3 |  Feb  | 1500  |
4 |  Mar  | 1300  |
5 |  Apr  | 1700  |
6 |  May  | 1600  |

Arrows: Sales values in column B feed into the cumulative sum calculation ordered by Month in column A.

The formula references the Sales column (B2:B6) ordered by Month (A2:A6) to calculate cumulative sums for the line chart.

Result

    A       B       C
1 | Month | Sales | Cumulative Sales |
2 |  Jan  | 1000  |      1000       |
3 |  Feb  | 1500  |      2500       |
4 |  Mar  | 1300  |      3800       |
5 |  Apr  | 1700  |      5500       |
6 |  May  | 1600  |      7100       |

The final result shows cumulative sales by month. This data can be used to create a line chart showing sales growth over time.

Sheet Trace Quiz - 3 Questions

What is the cumulative sales value at March?

A 3800

B 1300

C 2500

D 5500

Key Result

SUM([Measure]) OVER (ORDER BY [Dimension] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) calculates a running total ordered by the dimension.

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