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Overview

This feature is available in PhixFlow version 11.1+.

Use custom series to Use 

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 to add quartile, trend, target and/or arbitrary lines to your charts in PhixFlow. See Creating a Custom Series on a Chart (Trends) for worked examples.

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Basic Settings

FieldDescription
Name

Enter a name for the custom series.

Right Axis

Enable this to display the custom series for the 

dataset(s)

data on the right axis.

NEED MORE INFO

Mode

Choose from:

  • Algorithm
    • Choose this to display a drop down list of calculations
  • Percentile
: 

    • This is a type of quantile that shows how a value (percentile) compares to other values within the
dataset
    • same set of data
    • They indicate the value below which a given percentage of values in
a dataset
    • a set of data falls, e.g. the 50th percentile represents the point below which 50% of the data falls
Algorithm
  • Trend Line
    • Choose this to display a drop down list of
calculations
    • trend lines which depict the general direction in which data points are moving or trending over time
  • Expression
    • Choose this to display the Expression editor 
Percentile

Available when Mode is set to Percentile. 

Enter a number between 0 and 100.

For an example chart setup using this option, see Creating a Custom Chart (Trends).

Standard Deviation - set a chart line to display how spread out the values in a dataset
Algorithm

Available when Mode is set to Algorithm. 

Choose from the drop down list:

  • Mean - set a chart line at the average value of the dataset values
  • Median - set a chart line at the middle value of the dataset values, when they are ordered ascending

    • Cumulative Percent - set a trend line showing the total percentage accumulated at each point in the data series

    TipCumulative Percent reflects the cumulative contribution or impact of each percentage value as it progresses over time or through a particular dataset
    • Cumulative Sum - shows the running total of the data values

    • Cumulative Percent - shows the total percentage accumulated at each point in the data series

      Tip

      Cumulative Percent reflects the cumulative contribution or impact of each percentage value as it progresses over time or through a particular set of data.


    • Mean - shows the average value 
    • Minimum - shows the smallest value 
    • Median - shows the middle value, when the data is ordered ascending
    • Maximum - shows the largest value 

    • Standard Deviation - shows how spread out the values are from the mean

      Tip

      Standard Deviation helps to understand the dispersion or variability of the data points. A larger standard variation indicates that the values are more spread out from the mean.

  • Maximum - set a chart line at the largest value in the dataset 
  • Minimum - set a chart line at the smallest value in the dataset
  • Sum - set a chart line at the result of adding all values in the dataset together
  • Cumulative Sum - set a trend line showing the running total of the dataset values


    • Sum - shows the result of adding all values together
      • For a multi-series chart, this will be the sum for each column of data 
      • For a single-series chart, this will be the sum of all values

    Sum for Multi-Series Chart
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    Sum for Single-Series Chart

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    For an example chart setup using this option, see Creating a Custom Series on a Chart (Trends).

    Percentile

    Available when Mode is set to Percentile. 

    Enter a number between 0 and 100.

    For an example chart setup using this option, see Creating a Custom Series on a Chart (Trends).

    Trend Line

    Available when Mode is set to Trend Line. 

    Choose from the drop down list:

    Linear - represent the relationship between variables as a straight line.

    This is useful where data increases or decreases along a straight line, at a constant rate.

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    Quadratic - represent the relationship between variables as one curve in a line.

    This is useful where data fluctuates up then down, or vice versa.

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    Cubic - represent the relationship between variables as two curves in a line.

    This is useful where data fluctuates up and down.

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    Gaussian - represent the relationship between variables as a bell-shaped distribution.

    This trend line is also known as normal distribution and is characterised by its symmetric shape around the mean.

    This is useful for showing a symmetrical plot of data around its mean value, where the width of the curve is defined by the standard deviation.

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    Expression

    Available when Mode is set to Expression.

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    nameExpression

    This field allows values, e.g. 10, or expressions for calculating rescaling and rolling averages. The expression should return either a single value (fixed horizontal line), an array of 2 values (first and last), or an array of values matching the number of x values/categories.

    The following Internal Variables can be used:

    _value returns a record of arrays

    Code Block
    titleExample
    //for the attribute, count, convert negative values to 0 and double the positive values

forEach(
		$item, _value.count, 
			if(
				$item <= 0, 0, $item*2
			)	
)

    _this returns an array of records

    Code Block
    titleExample
    //increases each value for Company A by 10

_this.CompanyA + 10

    Refer to attributes using the syntax, _

    current

    value.attributeName

    For an example chart setup using this option, see Creating a Custom Series on a Chart (Trends).

    Colour
    • Choose a colour from the colour picker
    • Set the value in Hexadecimal format
    • Set the RGB value
    StyleChoose from dashed, dotted or solid.


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    Learn More

    For links to all pages in this topic, see Creating Dashboards and Reports (Charts and Graphs).