Numeric Features Info

This endpoint aims to list characteristics of selected numeric features, such as mean, standard deviation, skewness, kurtosis, as well as x and y values for histogram.

Request Body

NameDatatypeDescriptionMandatorySample ValueList of possible valuesNotes
clientIdStringIt is meant for identification purpose as information are stored under unique id valueYes
numericFeaturesList of stringsNumerical features are required in order to compute some statistical information, such as average, density, and many moreYes["age", "personalIncome"]Depends on the values derived from /data_retrieval endpoint based on the client_id value. The values must fall under numerical featuresThe value in the array must match with the set key-value pair found in /data_retrieval endpoint based on the client_id value. The values must fall under numerical features

Response Body

NameDatatypeDescriptionNo. of decimalsNotes
numericFeatureInfo value placeholderArray of dictionaryAn array containing the information for numeric features users are interested in.Payload is the same for each item in numeric_features.
nameStringName of numeric feature
infoDictionaryA dictionary containing average, kurtosis, skewness, standard deviation, density and histogram data
averageNumberAverage value of the numeric feature5
densityArrayAn array of the x_cord and respective value5
xValueNumberX coordinate value5
histArrayAn array of the count, densityValue, xHighValue, xLowValue and xMidvalue needed to make a histogram.
xHighValueNumberX coordinate high value5
xLowValueNumberX coordinate low value5
xMidValueNumberX coordinate mid value5
kurtosisnumberKurtosis is a measure of whether the data are heavy-tailed or light-tailed relative to a normal distribution. That is, data sets with high kurtosis tend to have heavy tails, or outliers. Data sets with low kurtosis tend to have light tails, or lack of outliers. A uniform distribution would be the extreme case.5
skewnessnumberSkewness is a measure of symmetry, or more precisely, the lack of symmetry. A distribution, or data set, is symmetric if it looks the same to the left and right of the center point.5
standardDeviationnumberThe standard deviation is a measure of how spread out numbers are.5
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