1010data Insights Platform offers a rich set of functions that may be used in value expressions when creating computed columns and in selection expressions when performing row selections.
Group functions, or g_functions, are used to perform operations, such as summarizations, on rows that have the same values in a set of given columns.
1010data provides a whole range of functions that can provide information and act on your data.
The time/date functions are vector functions that operate on columns containing time-related data and return specific information about the date/time for each row.
Provides an overview of basic functionality of g_functions in 1010data.
All g_functions contain an optional S parameter, or a selection column, to tell the g_function whether to include or exclude a row in its calculations.
S
classify(XX;M;Z)
Returns the result of classifying data points according to a discrete model.
cparam(M;P;I)
Returns the text value of a particular model parameter extracted from a discrete or continuous model.
g_arima(G;S;O;X;P;D;Q;OPTS)
Fits an ARIMA(P,D,Q) model to the time series data in column X. (Available as of version 19.14)
ARIMA(P,D,Q)
X
g_arimax(G;S;O;X;VV;P;D;Q;OPTS)
Fits an ARIMA(P,D,Q) model to the time series data in column X, with eXogenous variables. (Available as of version 19.35)
g_cluster(G;S;XX;A;N;Z)
Returns a model corresponding to the clustering of points in data.
g_glm(G;S;Y;XX;Z)
Returns a generalized linear model corresponding to the regression of a dependent variable with one or more independent variables. (Available as of prod-9)
g_info_iv(G;S;X;Y)
Returns the information value (IV) of X provided Y. (Available as of version 10.42)
Y
g_info_woe(G;S;X;Y)
Returns the information theoretic value weight of evidence (WoE) of X provided Y. (Available as of version 10.42)
g_liblinear(G;S;Y;XX;Z)
Returns a model of a given data set using one of the 10 supported underlying algorithms, which include logistic regression as well as both support vector classification and regression. (Available as of prod-9)
g_logreg(G;S;Y;XX;Z)
Returns a model corresponding to the logistic regression of one or more independent variables against a given dependent variable.
g_lsq(G;S;Y;XX)
Returns a model corresponding to the multiple least squares regression of one or more independent variables against a given dependent variable.
g_pca(G;S;XX;Z)
Returns a model corresponding to the principal component analysis of one or more variables.
g_sarima(G;S;O;X;SP;P;D;Q;PP;DD;QQ;OPTS)
Perform Seasonal ARIMA. (Available as of version 19.35)
g_sarimax(G;S;O;X;VV;SP;P;D;Q;PP;DD;QQ;OPTS)
Perform Seasonal ARIMA with eXogenous variables. Since ARIMA is a special case of SARIMAX, g_sarimax can fit the entire family of models. (Available as of version 19.35)
g_sarimax
g_wlsq(G;S;Y;W;XX)
Returns a model corresponding to the weighted multiple least squares regression of one or more independent variables against a given dependent variable.
param(M;P;I)
Returns the numerical value of a particular model parameter extracted from a discrete or continuous model.
score(XX;M;Z)
Returns the result of scoring data points according to a continuous model.
select(V;I)
Returns an element extracted from a vector value
Math functions are vector functions that perform mathematical operations on one or more columns and return a column of results based on the operation.
Categorization functions are vector functions that organize data and determine logical groupings. These functions can be used for conditionalizing results and/or bucketing value ranges.
String functions are vector functions that manipulate vectors of strings to provide information about a string or substring, concatenate and split strings, or transform strings based on specified criteria.
List functions are scalar functions that return lists, subsets of lists, and combinations of lists, among other functionality. Lists, along with packages, are compound scalar data types that facilitate programmatic interaction with scalar data values and variables.
Data-handling functions are vector functions that return a hash value based on an input column or columns.
Row functions are vector functions that return computational outputs for row inputs, as opposed to column outputs. Row inputs are defined as a space- or comma-separated list of column names.
SQL compatibility functions are functions that treat null values as SQL nulls.
System functions are special functions in 1010data that return information about users, tables, and other system objects.
The object functions can be used to check the existence, type, and accessibility of objects such as folders, tables, and queries on the 1010data Insights Platform.
This category of functions contains special functions that don't neatly fit into other categories of functions.
