Understanding Highcharts – Regular/Discrete Series Data

This is a part of the Understanding Highcharts – Series Data blog series

Let us first define what we mean by discrete or regular to set the context on this blog

  1. The x-axis (independent axis) is numerical
  2. The x-axis can be extended infinitely on either side, but sometimes can be bound by a mix & max
  3. Discrete: The x value of a points can’t be any number, but a certain (yet infinitely large) subset of the number system
  4. Regular: The difference between the x-values of any two given points is always an integral multiple of a fixed interval

Mathematically, all the x values can be formulated as follows

x = reference_x + N * fixed_interval

is the x value of a pre-defined reference point in the series, this can be the first point, last point or any other point in the series. N is an integer, can be positive or negative.
is a fixed float. The values of
are static across all the points and only the N value varies from point to point. Integers & Natural numbers are classic examples of such series with
Theoretically, for any series if we were to reduce the
to a very small number, we would always be able fit all data points into the above formula. But in most cases we would not have y-values for all corresponding
values for such small
Let’s say we are driving a car and wish to track the fuel consumption & time taken along our journey. For this experiment, we may choose a fixed interval after which we take a reading, let’s take a reading after every 50 kilometers. Initially, my odometer reads 10000 km and fuel tank is 90%. At the end of the journey I have the following readings

Odometer (km) Fuel Consumed (ltr.) Time Taken (mins.)
10050 7.2 110
10100 7.76 120
10150 8.96 115
10200 3.92 89
10250 7.76 122.6
10300 8.4 117

It can be easily inferred that
fixed_interval = 50 & reference_x = 10000
In fact the
could have been any x value in the series, just that the value of
for points before it would be negative if we were to choose any point other than the start point. More importantly, Highcharts makes life easy if we choose the first point as reference, we will see how to do it next. Generally, although not always, there would be not more than one y value corresponding to each value of x.

Regular/Discrete Series Data in Highcharts

It is easy to notice the pattern of the x values in such series. Given the first point and the interval, the Nth x-value can be calculated & Highcharts offers doing this calculation for you! The series options of Highcharts has following two special properties

If no x values are given for the points in a series, pointStart defines on what value to start. On a datetime X axis, the number will be given as milliseconds since 1970-01-01, for exampleDate.UTC(2011, 0, 1). Defaults to 0.


If no x values are given for the points in a series, pointInterval defines the interval of the x values in milliseconds. For example, if a series contains one value each day, set pointInterval to 24 * 3600 * 1000. Defaults to 1

If the above two properties are set in the series options, we can simply skip the x-values in the data and just provide the y values and let Highcharts take care of the rest.

1) A list of numerical values. In this case, the numerical values will be interpreted as y values, and x values will be automatically calculated, either starting at 0 and incrementing by 1, or from pointStart and pointInterval given in the plotOptions. This option is not available for series types with more than one value per point, like area range or OHLC.

data: [0, 5, 3, 5]

Let us see how to handle the above example in Highcharts


In this approach we are forced to put one and only one value for each possible x value. Since Highcharts calculates the x values by itself, we have very limited control over it.

Say, we did not have valid data for one of the x values? Or one of the x-values is itself not valid? Had we specified the x-values ourselves, we could easily skip the particular data point. We do have an option to mark the y-value as
for missing points, but this will break the chart and may be undesired. If we just wish to skip the point but not break the chart, we would need to use the [x,y] approach.

If we wanted to something more special, e.g. have multiple Y values for a given X, we may have to choose to treat the data as irregular and provide explicit x values for all points.

Read More @ Understanding Highcharts – Series Data blog series

Reference Links

Understanding Highcharts – Series Data

Getting back to basics, let us have a look at the the most fundamental aspect of a chart, the data. Diving deeper into the series.data option of Highcharts.

This is a series of posts dealing with the following topics

Some of the topics are tentative, leave feedback if you want something more covered

Understanding Highcharts – Categorized Series Data

This is a part of the Understanding Highcharts – Series Data blog series

Categories are a bunch of strings that sit on your independent (generally x) axis. Say, for plotting average temperature by country, the country names on the x-axis are categories. This is the simplest form of data, the points & x-axis labels are equally spaced horizontally.

Highcharts supports defining this kind of data in the following two ways

Method I – Using xAxis.categories

Defining the categories at once while defining the x-axis using the xAxis.categories option, and defining only the y values for each series

Method II – Using {name,y} point format

If you are like me, you may not find the above approach very natural. The approach asked us to define all x-values (categories) first and then the y-values as another array, I prefer defining my points as (x,y) or something similar. Well, now we can do just that with Highcharts 3.0, which supports defining categories at the time of defining your data. The series.data now also takes an array of objects, with two properties viz. name and y. The name acts as the category. Additionally we need to instruct Highcharts to use the xAxis as a category axis as follows.

Basic observation tells that the first method allows defining categories only once, hence if there are multiple series having same set of categories the first comes handy and prevents repetition & duplication. I would also use the first form if the set of categories were to be static, this would allow me to easily elevate the categories in a default option object. The second approach is more suited, in my opinion, for situations where the data and the categories are generated programmatically.

Read more @ Understanding Highcharts – Series Data blog series

Reference Links