Kinetica C# API  Version 7.1.10.0
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kinetica.AggregateStatisticsByRangeRequest Class Reference

A set of parameters for Kinetica.aggregateStatisticsByRange(string,string,string,string,string,double,double,double,IDictionary{string, string}). More...

+ Inheritance diagram for kinetica.AggregateStatisticsByRangeRequest:
+ Collaboration diagram for kinetica.AggregateStatisticsByRangeRequest:

Classes

struct  Options
 Map of optional parameters:

  • ADDITIONAL_COLUMN_NAMES: A list of comma separated value-column names over which statistics can be accumulated along with the primary value_column.
More...
 

Public Member Functions

 AggregateStatisticsByRangeRequest ()
 Constructs an AggregateStatisticsByRangeRequest object with default parameters. More...
 
 AggregateStatisticsByRangeRequest (string table_name, string select_expression, string column_name, string value_column_name, string stats, double start, double end, double interval, IDictionary< string, string > options=null)
 Constructs an AggregateStatisticsByRangeRequest object with the specified parameters. More...
 
- Public Member Functions inherited from kinetica.KineticaData
 KineticaData (KineticaType type)
 Constructor from Kinetica Type More...
 
 KineticaData (System.Type type=null)
 Default constructor, with optional System.Type More...
 
object Get (int fieldPos)
 Retrieve a specific property from this object More...
 
void Put (int fieldPos, object fieldValue)
 Write a specific property to this object More...
 

Properties

string table_name [get, set]
 Name of the table on which the ranged-statistics operation will be performed, in [schema_name. More...
 
string select_expression [get, set]
 For a non-empty expression statistics are calculated for those records for which the expression is true. More...
 
string column_name = "" [get, set]
 Name of the binning-column used to divide the set samples into bins. More...
 
string value_column_name [get, set]
 Name of the value-column for which statistics are to be computed. More...
 
string stats [get, set]
 A string of comma separated list of the statistics to calculate, e.g. More...
 
double start [get, set]
 The lower bound of the binning-column. More...
 
double end [get, set]
 The upper bound of the binning-column. More...
 
double interval [get, set]
 The interval of a bin. More...
 
IDictionary< string, string > options [get, set]
 Map of optional parameters:

  • ADDITIONAL_COLUMN_NAMES: A list of comma separated value-column names over which statistics can be accumulated along with the primary value_column.
More...
 
- Properties inherited from kinetica.KineticaData
Schema Schema [get]
 Avro Schema for this class More...
 

Additional Inherited Members

- Static Public Member Functions inherited from kinetica.KineticaData
static RecordSchema SchemaFromType (System.Type t, KineticaType ktype=null)
 Create an Avro Schema from a System.Type and a KineticaType. More...
 

Detailed Description

A set of parameters for Kinetica.aggregateStatisticsByRange(string,string,string,string,string,double,double,double,IDictionary{string, string}).


Divides the given set into bins and calculates statistics of the values of a value-column in each bin. The bins are based on the values of a given binning-column. The statistics that may be requested are mean, stdv (standard deviation), variance, skew, kurtosis, sum, min, max, first, last and weighted average. In addition to the requested statistics the count of total samples in each bin is returned. This counts vector is just the histogram of the column used to divide the set members into bins. The weighted average statistic requires a weight column to be specified in weight_column_name. The weighted average is then defined as the sum of the products of the value column times the weight column divided by the sum of the weight column.
There are two methods for binning the set members. In the first, which can be used for numeric valued binning-columns, a min, max and interval are specified. The number of bins, nbins, is the integer upper bound of (max-min)/interval. Values that fall in the range [min+n*interval,min+(n+1)*interval) are placed in the nth bin where n ranges from 0..nbin-2. The final bin is [min+(nbin-1)*interval,max]. In the second method, bin_values specifies a list of binning column values. Binning-columns whose value matches the nth member of the bin_values list are placed in the nth bin. When a list is provided, the binning-column must be of type string or int.
NOTE: The Kinetica instance being accessed must be running a CUDA (GPU-based) build to service this request.

Definition at line 55 of file AggregateStatisticsByRange.cs.

Constructor & Destructor Documentation

kinetica.AggregateStatisticsByRangeRequest.AggregateStatisticsByRangeRequest ( )
inline

Constructs an AggregateStatisticsByRangeRequest object with default parameters.

Definition at line 183 of file AggregateStatisticsByRange.cs.

kinetica.AggregateStatisticsByRangeRequest.AggregateStatisticsByRangeRequest ( string  table_name,
string  select_expression,
string  column_name,
string  value_column_name,
string  stats,
double  start,
double  end,
double  interval,
IDictionary< string, string >  options = null 
)
inline

Constructs an AggregateStatisticsByRangeRequest object with the specified parameters.

Parameters
table_nameName of the table on which the ranged-statistics operation will be performed, in [schema_name.]table_name format, using standard name resolution rules.
select_expressionFor a non-empty expression statistics are calculated for those records for which the expression is true. The default value is ''.
column_nameName of the binning-column used to divide the set samples into bins.
value_column_nameName of the value-column for which statistics are to be computed.
statsA string of comma separated list of the statistics to calculate, e.g. 'sum,mean'. Available statistics: mean, stdv (standard deviation), variance, skew, kurtosis, sum.
startThe lower bound of the binning-column.
endThe upper bound of the binning-column.
intervalThe interval of a bin. Set members fall into bin i if the binning-column falls in the range [start+interval*i, start+interval*(i+1)).
optionsMap of optional parameters:
  • ADDITIONAL_COLUMN_NAMES: A list of comma separated value-column names over which statistics can be accumulated along with the primary value_column.
  • BIN_VALUES: A list of comma separated binning-column values. Values that match the nth bin_values value are placed in the nth bin.
  • WEIGHT_COLUMN_NAME: Name of the column used as weighting column for the weighted_average statistic.
  • ORDER_COLUMN_NAME: Name of the column used for candlestick charting techniques.
The default value is an empty Dictionary.

Definition at line 241 of file AggregateStatisticsByRange.cs.

Property Documentation

string kinetica.AggregateStatisticsByRangeRequest.column_name = ""
getset

Name of the binning-column used to divide the set samples into bins.

Definition at line 126 of file AggregateStatisticsByRange.cs.

double kinetica.AggregateStatisticsByRangeRequest.end
getset

The upper bound of the binning-column.

Definition at line 141 of file AggregateStatisticsByRange.cs.

double kinetica.AggregateStatisticsByRangeRequest.interval
getset

The interval of a bin.

Set members fall into bin i if the binning-column falls in the range [start+interval*i, start+interval*(i+1)).

Definition at line 146 of file AggregateStatisticsByRange.cs.

IDictionary<string, string> kinetica.AggregateStatisticsByRangeRequest.options
getset

Map of optional parameters:

  • ADDITIONAL_COLUMN_NAMES: A list of comma separated value-column names over which statistics can be accumulated along with the primary value_column.

BIN_VALUES: A list of comma separated binning-column values. Values that match the nth bin_values value are placed in the nth bin. WEIGHT_COLUMN_NAME: Name of the column used as weighting column for the weighted_average statistic. ORDER_COLUMN_NAME: Name of the column used for candlestick charting techniques.

The default value is an empty Dictionary.

Definition at line 178 of file AggregateStatisticsByRange.cs.

string kinetica.AggregateStatisticsByRangeRequest.select_expression
getset

For a non-empty expression statistics are calculated for those records for which the expression is true.

The default value is ''.

Definition at line 122 of file AggregateStatisticsByRange.cs.

double kinetica.AggregateStatisticsByRangeRequest.start
getset

The lower bound of the binning-column.

Definition at line 138 of file AggregateStatisticsByRange.cs.

string kinetica.AggregateStatisticsByRangeRequest.stats
getset

A string of comma separated list of the statistics to calculate, e.g.

'sum,mean'. Available statistics: mean, stdv (standard deviation), variance, skew, kurtosis, sum.

Definition at line 135 of file AggregateStatisticsByRange.cs.

string kinetica.AggregateStatisticsByRangeRequest.table_name
getset

Name of the table on which the ranged-statistics operation will be performed, in [schema_name.

]table_name format, using standard name resolution rules.

Definition at line 117 of file AggregateStatisticsByRange.cs.

string kinetica.AggregateStatisticsByRangeRequest.value_column_name
getset

Name of the value-column for which statistics are to be computed.

Definition at line 130 of file AggregateStatisticsByRange.cs.


The documentation for this class was generated from the following file: