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EVM_WasOnBranch_Cube

WasOnBranch blocks in EVM Blockchain

type EVM_WasOnBranch_Cube {
  Block: EVM_WasOnBranch_Fields_Block
  ChainId(
    if: EVM_WasOnBranch_Filter
    maximum: EVM_WasOnBranch_CompareFields
    minimum: EVM_WasOnBranch_CompareFields
    selectWhere: OLAP_BigInteger
  ): String
  Uncle: EVM_WasOnBranch_Fields_Uncle
  average(
    selectWhere: Metric_filter_Float
    of: EVM_WasOnBranch_NumFields
    if: EVM_WasOnBranch_Filter
  ): Float
  contingency(
    selectWhere: Metric_filter_Float
    of: EVM_WasOnBranch_NumFields
    with: EVM_WasOnBranch_NumFields
    if: EVM_WasOnBranch_Filter
  ): Float
  correlation(
    selectWhere: Metric_filter_Float
    with: EVM_WasOnBranch_NumFields
    if: EVM_WasOnBranch_Filter
    of: EVM_WasOnBranch_NumFields
  ): Float
  count(
    selectWhere: Metric_filter_String
    if: EVM_WasOnBranch_Filter
    distinct: [EVM_WasOnBranch_EnumFields]
  ): String
  covariance(
    if: EVM_WasOnBranch_Filter
    of: EVM_WasOnBranch_NumFields
    selectWhere: Metric_filter_Float
    with: EVM_WasOnBranch_NumFields
  ): Float
  cramers(
    of: EVM_WasOnBranch_NumFields
    selectWhere: Metric_filter_Float
    with: EVM_WasOnBranch_NumFields
    if: EVM_WasOnBranch_Filter
  ): Float
  cramers_bias_corrected(
    selectWhere: Metric_filter_Float
    with: EVM_WasOnBranch_NumFields
    if: EVM_WasOnBranch_Filter
    of: EVM_WasOnBranch_NumFields
  ): Float
  dispersion(
    if: EVM_WasOnBranch_Filter
    selectWhere: Metric_filter_Float
    of: EVM_WasOnBranch_NumFields
  ): Float
  entropy(
    of: EVM_WasOnBranch_NumFields
    if: EVM_WasOnBranch_Filter
    selectWhere: Metric_filter_Float
  ): Float
  kurtosis(
    selectWhere: Metric_filter_Float
    of: EVM_WasOnBranch_NumFields
    if: EVM_WasOnBranch_Filter
  ): Float
  median(
    selectWhere: Metric_filter_Float
    of: EVM_WasOnBranch_NumFields
    if: EVM_WasOnBranch_Filter
  ): Float
  quantile(
    if: EVM_WasOnBranch_Filter
    method: OLAP_Metric_Calculation_Method_Exact
    selectWhere: Metric_filter_Float
    of: EVM_WasOnBranch_NumFields
    level: Float = 0.5
  ): Float
  rank_correlation(
    if: EVM_WasOnBranch_Filter
    selectWhere: Metric_filter_Float
    of: EVM_WasOnBranch_NumFields
    with: EVM_WasOnBranch_NumFields
  ): Float
  skew(
    selectWhere: Metric_filter_Float
    of: EVM_WasOnBranch_NumFields
    if: EVM_WasOnBranch_Filter
  ): Float
  standard_deviation(
    selectWhere: Metric_filter_Float
    of: EVM_WasOnBranch_NumFields
    if: EVM_WasOnBranch_Filter
  ): Float
  sum(
    selectWhere: Metric_filter_String
    of: EVM_WasOnBranch_NumFields
    if: EVM_WasOnBranch_Filter
  ): String
  theils(
    with: EVM_WasOnBranch_NumFields
    selectWhere: Metric_filter_Float
    if: EVM_WasOnBranch_Filter
    of: EVM_WasOnBranch_NumFields
  ): Float
  uniq(
    of: [EVM_WasOnBranch_EnumFields]
    if: EVM_WasOnBranch_Filter
    method: OLAP_Metric_Calculation_Method_Exact
    selectWhere: Metric_filter_String
  ): String
}

Fields​

EVM_WasOnBranch_Cube.Block ● EVM_WasOnBranch_Fields_Block object​

Block fields

EVM_WasOnBranch_Cube.ChainId ● String scalar​

ChainId value

EVM_WasOnBranch_Cube.ChainId.if ● EVM_WasOnBranch_Filter input​

Apply a condition to a metric calculation

EVM_WasOnBranch_Cube.ChainId.maximum ● EVM_WasOnBranch_CompareFields enum​

Return value when the argument is maximum

EVM_WasOnBranch_Cube.ChainId.minimum ● EVM_WasOnBranch_CompareFields enum​

Return value when the argument is minimum

EVM_WasOnBranch_Cube.ChainId.selectWhere ● OLAP_BigInteger input​

Defines the condition to filter the results by the value of this metric

EVM_WasOnBranch_Cube.Uncle ● EVM_WasOnBranch_Fields_Uncle object​

Uncle fields

EVM_WasOnBranch_Cube.average ● Float scalar​

Average of the values

EVM_WasOnBranch_Cube.average.selectWhere ● Metric_filter_Float input​

Defines the condition to filter the results by the value of this metric

EVM_WasOnBranch_Cube.average.of ● EVM_WasOnBranch_NumFields enum​

Argument for Average of the values

EVM_WasOnBranch_Cube.average.if ● EVM_WasOnBranch_Filter input​

Apply a condition to a metric calculation

EVM_WasOnBranch_Cube.contingency ● Float scalar​

Contingency coefficient between two arguments

EVM_WasOnBranch_Cube.contingency.selectWhere ● Metric_filter_Float input​

Defines the condition to filter the results by the value of this metric

EVM_WasOnBranch_Cube.contingency.of ● EVM_WasOnBranch_NumFields enum​

First argument for Contingency coefficient between two arguments

EVM_WasOnBranch_Cube.contingency.with ● EVM_WasOnBranch_NumFields enum​

Second argument for Contingency coefficient between two arguments

EVM_WasOnBranch_Cube.contingency.if ● EVM_WasOnBranch_Filter input​

Apply a condition to a metric calculation

EVM_WasOnBranch_Cube.correlation ● Float scalar​

Pearson correlation coefficient between two arguments

EVM_WasOnBranch_Cube.correlation.selectWhere ● Metric_filter_Float input​

Defines the condition to filter the results by the value of this metric

EVM_WasOnBranch_Cube.correlation.with ● EVM_WasOnBranch_NumFields enum​

Second argument for Pearson correlation coefficient between two arguments

EVM_WasOnBranch_Cube.correlation.if ● EVM_WasOnBranch_Filter input​

Apply a condition to a metric calculation

EVM_WasOnBranch_Cube.correlation.of ● EVM_WasOnBranch_NumFields enum​

First argument for Pearson correlation coefficient between two arguments

EVM_WasOnBranch_Cube.count ● String scalar​

Count records or uniques of arguments

EVM_WasOnBranch_Cube.count.selectWhere ● Metric_filter_String input​

Defines the condition to filter the results by the value of this metric

EVM_WasOnBranch_Cube.count.if ● EVM_WasOnBranch_Filter input​

Apply a condition to a metric calculation

EVM_WasOnBranch_Cube.count.distinct ● [EVM_WasOnBranch_EnumFields] list enum​

Count distinct values of the field

EVM_WasOnBranch_Cube.covariance ● Float scalar​

Covariance between two arguments

EVM_WasOnBranch_Cube.covariance.if ● EVM_WasOnBranch_Filter input​

Apply a condition to a metric calculation

EVM_WasOnBranch_Cube.covariance.of ● EVM_WasOnBranch_NumFields enum​

First argument for Covariance between two arguments

EVM_WasOnBranch_Cube.covariance.selectWhere ● Metric_filter_Float input​

Defines the condition to filter the results by the value of this metric

EVM_WasOnBranch_Cube.covariance.with ● EVM_WasOnBranch_NumFields enum​

Second argument for Covariance between two arguments

EVM_WasOnBranch_Cube.cramers ● Float scalar​

Cramér's phi coefficient between two arguments

EVM_WasOnBranch_Cube.cramers.of ● EVM_WasOnBranch_NumFields enum​

First argument for Cramér's phi coefficient between two arguments

EVM_WasOnBranch_Cube.cramers.selectWhere ● Metric_filter_Float input​

Defines the condition to filter the results by the value of this metric

EVM_WasOnBranch_Cube.cramers.with ● EVM_WasOnBranch_NumFields enum​

Second argument for Cramér's phi coefficient between two arguments

EVM_WasOnBranch_Cube.cramers.if ● EVM_WasOnBranch_Filter input​

Apply a condition to a metric calculation

EVM_WasOnBranch_Cube.cramers_bias_corrected ● Float scalar​

Cramér's phi coefficient with bias correction between two arguments

EVM_WasOnBranch_Cube.cramers_bias_corrected.selectWhere ● Metric_filter_Float input​

Defines the condition to filter the results by the value of this metric

EVM_WasOnBranch_Cube.cramers_bias_corrected.with ● EVM_WasOnBranch_NumFields enum​

Second argument for Cramér's phi coefficient with bias correction between two arguments

EVM_WasOnBranch_Cube.cramers_bias_corrected.if ● EVM_WasOnBranch_Filter input​

Apply a condition to a metric calculation

EVM_WasOnBranch_Cube.cramers_bias_corrected.of ● EVM_WasOnBranch_NumFields enum​

First argument for Cramér's phi coefficient with bias correction between two arguments

EVM_WasOnBranch_Cube.dispersion ● Float scalar​

Dispersion for a set of values

EVM_WasOnBranch_Cube.dispersion.if ● EVM_WasOnBranch_Filter input​

Apply a condition to a metric calculation

EVM_WasOnBranch_Cube.dispersion.selectWhere ● Metric_filter_Float input​

Defines the condition to filter the results by the value of this metric

EVM_WasOnBranch_Cube.dispersion.of ● EVM_WasOnBranch_NumFields enum​

Argument for Dispersion for a set of values

EVM_WasOnBranch_Cube.entropy ● Float scalar​

Entropy for a set of values

EVM_WasOnBranch_Cube.entropy.of ● EVM_WasOnBranch_NumFields enum​

Argument for Entropy for a set of values

EVM_WasOnBranch_Cube.entropy.if ● EVM_WasOnBranch_Filter input​

Apply a condition to a metric calculation

EVM_WasOnBranch_Cube.entropy.selectWhere ● Metric_filter_Float input​

Defines the condition to filter the results by the value of this metric

EVM_WasOnBranch_Cube.kurtosis ● Float scalar​

Kurtosis for a set of values

EVM_WasOnBranch_Cube.kurtosis.selectWhere ● Metric_filter_Float input​

Defines the condition to filter the results by the value of this metric

EVM_WasOnBranch_Cube.kurtosis.of ● EVM_WasOnBranch_NumFields enum​

Argument for Kurtosis for a set of values

EVM_WasOnBranch_Cube.kurtosis.if ● EVM_WasOnBranch_Filter input​

Apply a condition to a metric calculation

EVM_WasOnBranch_Cube.median ● Float scalar​

Median for a set of values

EVM_WasOnBranch_Cube.median.selectWhere ● Metric_filter_Float input​

Defines the condition to filter the results by the value of this metric

EVM_WasOnBranch_Cube.median.of ● EVM_WasOnBranch_NumFields enum​

Argument for Median for a set of values

EVM_WasOnBranch_Cube.median.if ● EVM_WasOnBranch_Filter input​

Apply a condition to a metric calculation

EVM_WasOnBranch_Cube.quantile ● Float scalar​

Approximate quantile of a numeric data sequence

EVM_WasOnBranch_Cube.quantile.if ● EVM_WasOnBranch_Filter input​

Apply a condition to a metric calculation

EVM_WasOnBranch_Cube.quantile.method ● OLAP_Metric_Calculation_Method_Exact enum​

Method used to calculate metric values

EVM_WasOnBranch_Cube.quantile.selectWhere ● Metric_filter_Float input​

Defines the condition to filter the results by the value of this metric

EVM_WasOnBranch_Cube.quantile.of ● EVM_WasOnBranch_NumFields enum​

Argument for quantile

EVM_WasOnBranch_Cube.quantile.level ● Float scalar​

Level of quantile. Optional parameter. Constant floating-point number from 0 to 1. We recommend using a level value in the range of [0.01, 0.99]. Default value: 0.5. At level=0.5 the function calculates median.

EVM_WasOnBranch_Cube.rank_correlation ● Float scalar​

Rank correlation coefficient between two arguments

EVM_WasOnBranch_Cube.rank_correlation.if ● EVM_WasOnBranch_Filter input​

Apply a condition to a metric calculation

EVM_WasOnBranch_Cube.rank_correlation.selectWhere ● Metric_filter_Float input​

Defines the condition to filter the results by the value of this metric

EVM_WasOnBranch_Cube.rank_correlation.of ● EVM_WasOnBranch_NumFields enum​

First argument for Rank correlation coefficient between two arguments

EVM_WasOnBranch_Cube.rank_correlation.with ● EVM_WasOnBranch_NumFields enum​

Second argument for Rank correlation coefficient between two arguments

EVM_WasOnBranch_Cube.skew ● Float scalar​

Skew for a set of values

EVM_WasOnBranch_Cube.skew.selectWhere ● Metric_filter_Float input​

Defines the condition to filter the results by the value of this metric

EVM_WasOnBranch_Cube.skew.of ● EVM_WasOnBranch_NumFields enum​

Argument for Skew for a set of values

EVM_WasOnBranch_Cube.skew.if ● EVM_WasOnBranch_Filter input​

Apply a condition to a metric calculation

EVM_WasOnBranch_Cube.standard_deviation ● Float scalar​

Standard deviation of the values

EVM_WasOnBranch_Cube.standard_deviation.selectWhere ● Metric_filter_Float input​

Defines the condition to filter the results by the value of this metric

EVM_WasOnBranch_Cube.standard_deviation.of ● EVM_WasOnBranch_NumFields enum​

Argument for Standard deviation of the values

EVM_WasOnBranch_Cube.standard_deviation.if ● EVM_WasOnBranch_Filter input​

Apply a condition to a metric calculation

EVM_WasOnBranch_Cube.sum ● String scalar​

Sum values of argument

EVM_WasOnBranch_Cube.sum.selectWhere ● Metric_filter_String input​

Defines the condition to filter the results by the value of this metric

EVM_WasOnBranch_Cube.sum.of ● EVM_WasOnBranch_NumFields enum​

Argument for sum

EVM_WasOnBranch_Cube.sum.if ● EVM_WasOnBranch_Filter input​

Apply a condition to a metric calculation

EVM_WasOnBranch_Cube.theils ● Float scalar​

Theil's U uncertainty coefficient, coefficient with bias correction between two arguments

EVM_WasOnBranch_Cube.theils.with ● EVM_WasOnBranch_NumFields enum​

Second argument for Theil's U uncertainty coefficient, coefficient with bias correction between two arguments

EVM_WasOnBranch_Cube.theils.selectWhere ● Metric_filter_Float input​

Defines the condition to filter the results by the value of this metric

EVM_WasOnBranch_Cube.theils.if ● EVM_WasOnBranch_Filter input​

Apply a condition to a metric calculation

EVM_WasOnBranch_Cube.theils.of ● EVM_WasOnBranch_NumFields enum​

First argument for Theil's U uncertainty coefficient, coefficient with bias correction between two arguments

EVM_WasOnBranch_Cube.uniq ● String scalar​

Count unique records

EVM_WasOnBranch_Cube.uniq.of ● [EVM_WasOnBranch_EnumFields] list enum​

Uniq values of the field

EVM_WasOnBranch_Cube.uniq.if ● EVM_WasOnBranch_Filter input​

Apply a condition to a metric calculation

EVM_WasOnBranch_Cube.uniq.method ● OLAP_Metric_Calculation_Method_Exact enum​

Method used to calculate metric values

EVM_WasOnBranch_Cube.uniq.selectWhere ● Metric_filter_String input​

Defines the condition to filter the results by the value of this metric

Member of​

EVM object