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On this page
  • Best Situations to Use a Timeline chart
  • Default Chart Image
  • Properties of the Timeseries chart
  • Axis Setup
  • Background
  • Formatter
  • General
  • Legend
  • Second Axis
  • Slider
  • Subtitle
  • Title
  • Tooltip
  • X-Axis
  • Y-Axis
  • Dataset Series properties
  • Data Used
  • Properties Tab from the Dataset Pallet
  • Timeline chart variants by changing the Properties
  1. Charts Gallery
  2. Advanced Charts

Time Series

PreviousText AnalyzerNextDecomposition

Last updated 2 years ago

Check out the below given walk-through on how to use the Time Series (Timeline) chart component in Designer module.

Timeline chart can be used to evaluate patterns and behavior in data over time. Also called 'Time Series' graphs. They show how values change over a time. Timeline charts display observations on the Y-axis against equally spaced time intervals on the X-axis.

Best Situations to Use a Timeline chart

  • When comparing data patterns of different groups

  • When examining daily, weekly, and annual variations of a product or an entity

Default Chart Image

Properties of the Timeseries chart

Axis Setup

The user can enable the Auto axis, the Base Zero value, Horizontal & Vertical marker line, zero marker line and can change the color of lines, increase and decrease the color Transparency by opacity.

Background

The user can change the background color of the chart, can get the border for the chart and can change the border color, can get the reflection of the chart by enabling the shadow option can also change the color and increase & decrease the transparency of the shadow.

Formatter

The user can change Y-axis values in units to %, T, Lacs, M, etc. Precision if we want the value in decimal format. Currency if we want the value in INR, Pound, USD. Position of the currency if it's in prefix and currency in Rupee then the sign will be seen in left-side if it's in suffix then it will be seen in right-side. Number Formatter if we want it in Indian or international.

General

The user can change the height, width, top, left, chart type, column type & Line form. In this case, we have changed the chart type to Advance Line, column type to Clustered & line form to Segment.

Legend

The user can enable the internal legend if we want to show and can change the font size, color, style, etc.

Second Axis

The user can enable the second axis if we want to show any serial value according to the second axis.

Slider

The user can enable the slider to show the reflection box and the series in the slider form.

Subtitle

The user can enable the subtitle to display the second title. The user can change the Name, Font color, size, style for the subtitle.

Title

The user can change Title Name, Font color, size, style, etc.

Tooltip

The user can show the description of the series can use the tooltip by enabling it.

X-Axis

The user can change the axis name, Font color, Font size, Enable the axis line, and the axis color.

Y-Axis

The user can change the axis name, Font color, Font size, Enable the axis line, and the axis color.

Dataset Series properties

The user can change the color of each bar by selecting any of the series. There is an option to change the column type as well. Select either Line or Column options.

Data Used

The following data was used to generate the given example:

TimeLine
Company_A
Company_B
Company_C

02/15/2018

2

1

1

02/16/2018

3

2

2

02/17/2018

5

2

4

02/18/2018

5

2

6

02/19/2018

5

2

5

02/20/2018

5

3

4

02/21/2018

6

3

6

02/22/2018

5

3

6

02/23/2018

5

2

5

02/24/2018

3

4

6

02/25/2018

4

4

5

02/26/2018

3

4

4

02/27/2018

3

2

3

02/28/2018

4

5

2

03/01/2018

4

4

3

03/02/2018

5

4

4

03/03/2018

6

4

4

03/04/2018

7

5

3

03/05/2018

6

6

5

03/06/2018

7

6

6

03/07/2018

8

8

6

03/08/2018

8

8

2

03/09/2018

10

8

4

03/10/2018

10

8

4

03/11/2018

10

8

3

03/12/2018

12

9

2

03/13/2018

16

10

2

06-14-18

15

12

3

03/15/2018

18

12

2

03/16/2018

20

12

3

03/17/2018

24

13

3

03/18/2018

26

13

4

03/19/2018

28

13

3

03/20/2018

30

15

3

03/21/2018

32

15

4

03/22/2018

34

15

5

03/23/2018

32

17

5

03/24/2018

30

17

5

03/25/2018

28

17

5

03/26/2018

26

17

4

03/27/2018

28

17

3

03/28/2018

30

17

4

03/29/2018

32

18

5

03/30/2018

36

18

4

03/31/2018

40

18

6

04/01/2018

44

18

5

04/02/2018

48

20

4

04/03/2018

50

20

3

04/04/2018

50

24

4

04/05/2018

50

24

4

04/06/2018

48

23

4

04/07/2018

48

23

4

04/08/2018

40

22

4

04/09/2018

40

20

5

04/10/2018

36

22

4

04/11/2018

32

24

4

04/12/2018

30

24

5

04/13/2018

30

24

4

04/14/2018

24

24

6

04/15/2018

26

24

5

04/16/2018

28

26

5

04/17/2018

28

26

5

04/18/2018

28

26

5

04/19/2018

30

28

5

04/20/2018

32

28

5

04/21/2018

30

28

6

04/22/2018

32

30

6

04/23/2018

32

30

5

04/24/2018

28

30

4

04/25/2018

26

30

3

04/26/2018

26

36

2

04/27/2018

28

36

3

04/28/2018

24

36

3

04/29/2018

26

36

3

04/30/2018

26

40

3

05/01/2018

24

40

4

05/02/2018

26

40

5

05/03/2018

22

38

4

05/04/2018

20

38

5

05/05/2018

18

39

5

05/06/2018

12

40

5

05/07/2018

10

36

4

05/08/2018

8

36

4

05/09/2018

5

36

5

05/10/2018

10

38

4

05/11/2018

12

38

6

05/12/2018

14

40

5

05/13/2018

12

42

4

05/14/2018

16

42

4

05/15/2018

18

40

5

05/16/2018

20

44

5

Select the Timeline column as Category, and the other columns as Series to plot the data as given below:

Properties Tab from the Dataset Pallet

Timeline chart variants by changing the Properties

Clustered Chart with Line Segment

Clustered Chart with Line Curve

Stacked Chart

Overlaid Chart

100% Chart