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EVM_Block_Cube

Block of transactions in EVM Blockchain

type EVM_Block_Cube {
  Block: EVM_Block_Fields_Block
  ChainId(
    if: EVM_Block_Filter
    maximum: EVM_Block_CompareFields
    minimum: EVM_Block_CompareFields
    selectWhere: OLAP_BigInteger
  ): String
  average(
    selectWhere: Metric_filter_Float
    of: EVM_Block_NumFields!
    if: EVM_Block_Filter
  ): Float
  contingency(
    if: EVM_Block_Filter
    of: EVM_Block_NumFields
    selectWhere: Metric_filter_Float
    with: EVM_Block_NumFields
  ): Float
  correlation(
    selectWhere: Metric_filter_Float
    of: EVM_Block_NumFields
    with: EVM_Block_NumFields
    if: EVM_Block_Filter
  ): Float
  count(
    selectWhere: Metric_filter_String
    if: EVM_Block_Filter
    distinct: [EVM_Block_EnumFields]
  ): String
  covariance(
    selectWhere: Metric_filter_Float
    if: EVM_Block_Filter
    of: EVM_Block_NumFields
    with: EVM_Block_NumFields
  ): Float
  cramers(
    selectWhere: Metric_filter_Float
    of: EVM_Block_NumFields
    with: EVM_Block_NumFields
    if: EVM_Block_Filter
  ): Float
  cramers_bias_corrected(
    selectWhere: Metric_filter_Float
    of: EVM_Block_NumFields
    with: EVM_Block_NumFields
    if: EVM_Block_Filter
  ): Float
  dispersion(
    if: EVM_Block_Filter
    selectWhere: Metric_filter_Float
    of: EVM_Block_NumFields!
  ): Float
  entropy(
    selectWhere: Metric_filter_Float
    if: EVM_Block_Filter
    of: EVM_Block_NumFields!
  ): Float
  gini(
    selectWhere: Metric_filter_Float
    of: EVM_Block_NumFields!
  ): Float
  kurtosis(
    selectWhere: Metric_filter_Float
    of: EVM_Block_NumFields!
    if: EVM_Block_Filter
  ): Float
  median(
    if: EVM_Block_Filter
    selectWhere: Metric_filter_Float
    of: EVM_Block_NumFields!
  ): Float
  nakamoto(
    selectWhere: Metric_filter_Float
    of: EVM_Block_NumFields!
    ratio: Float = 0.51
  ): Float
  quantile(
    of: EVM_Block_NumFields!
    level: Float = 0.5
    if: EVM_Block_Filter
    method: OLAP_Metric_Calculation_Method_Exact
    selectWhere: Metric_filter_Float
  ): Float
  rank_correlation(
    selectWhere: Metric_filter_Float
    of: EVM_Block_NumFields
    with: EVM_Block_NumFields
    if: EVM_Block_Filter
  ): Float
  skew(
    selectWhere: Metric_filter_Float
    of: EVM_Block_NumFields!
    if: EVM_Block_Filter
  ): Float
  standard_deviation(
    selectWhere: Metric_filter_Float
    of: EVM_Block_NumFields!
    if: EVM_Block_Filter
  ): Float
  sum(
    selectWhere: Metric_filter_String
    of: EVM_Block_NumFields!
    if: EVM_Block_Filter
  ): String
  theil_index(
    selectWhere: Metric_filter_Float
    of: EVM_Block_NumFields!
  ): Float
  theils_corrected(
    selectWhere: Metric_filter_Float
    if: EVM_Block_Filter
    of: EVM_Block_NumFields
    with: EVM_Block_NumFields
  ): Float
  uniq(
    selectWhere: Metric_filter_String
    of: [EVM_Block_EnumFields]!
    if: EVM_Block_Filter
    method: OLAP_Metric_Calculation_Method_Exact
  ): String
}

Fields​

EVM_Block_Cube.Block ● EVM_Block_Fields_Block object​

Block fields

EVM_Block_Cube.ChainId ● String scalar​

ChainId value

EVM_Block_Cube.ChainId.if ● EVM_Block_Filter input​

Apply a condition to a metric calculation

EVM_Block_Cube.ChainId.maximum ● EVM_Block_CompareFields enum​

Return value when the argument is maximum

EVM_Block_Cube.ChainId.minimum ● EVM_Block_CompareFields enum​

Return value when the argument is minimum

EVM_Block_Cube.ChainId.selectWhere ● OLAP_BigInteger input​

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

EVM_Block_Cube.average ● Float scalar​

Average of the values

EVM_Block_Cube.average.selectWhere ● Metric_filter_Float input​

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

EVM_Block_Cube.average.of ● EVM_Block_NumFields! non-null enum​

Argument for Average of the values

EVM_Block_Cube.average.if ● EVM_Block_Filter input​

Apply a condition to a metric calculation

EVM_Block_Cube.contingency ● Float scalar​

Contingency coefficient between two arguments

EVM_Block_Cube.contingency.if ● EVM_Block_Filter input​

Apply a condition to a metric calculation

EVM_Block_Cube.contingency.of ● EVM_Block_NumFields enum​

First argument for Contingency coefficient between two arguments

EVM_Block_Cube.contingency.selectWhere ● Metric_filter_Float input​

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

EVM_Block_Cube.contingency.with ● EVM_Block_NumFields enum​

Second argument for Contingency coefficient between two arguments

EVM_Block_Cube.correlation ● Float scalar​

Pearson correlation coefficient between two arguments

EVM_Block_Cube.correlation.selectWhere ● Metric_filter_Float input​

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

EVM_Block_Cube.correlation.of ● EVM_Block_NumFields enum​

First argument for Pearson correlation coefficient between two arguments

EVM_Block_Cube.correlation.with ● EVM_Block_NumFields enum​

Second argument for Pearson correlation coefficient between two arguments

EVM_Block_Cube.correlation.if ● EVM_Block_Filter input​

Apply a condition to a metric calculation

EVM_Block_Cube.count ● String scalar​

Count records or uniques of arguments

EVM_Block_Cube.count.selectWhere ● Metric_filter_String input​

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

EVM_Block_Cube.count.if ● EVM_Block_Filter input​

Apply a condition to a metric calculation

EVM_Block_Cube.count.distinct ● [EVM_Block_EnumFields] list enum​

Count distinct values of the field

EVM_Block_Cube.covariance ● Float scalar​

Covariance between two arguments

EVM_Block_Cube.covariance.selectWhere ● Metric_filter_Float input​

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

EVM_Block_Cube.covariance.if ● EVM_Block_Filter input​

Apply a condition to a metric calculation

EVM_Block_Cube.covariance.of ● EVM_Block_NumFields enum​

First argument for Covariance between two arguments

EVM_Block_Cube.covariance.with ● EVM_Block_NumFields enum​

Second argument for Covariance between two arguments

EVM_Block_Cube.cramers ● Float scalar​

Cramér's phi coefficient between two arguments

EVM_Block_Cube.cramers.selectWhere ● Metric_filter_Float input​

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

EVM_Block_Cube.cramers.of ● EVM_Block_NumFields enum​

First argument for Cramér's phi coefficient between two arguments

EVM_Block_Cube.cramers.with ● EVM_Block_NumFields enum​

Second argument for Cramér's phi coefficient between two arguments

EVM_Block_Cube.cramers.if ● EVM_Block_Filter input​

Apply a condition to a metric calculation

EVM_Block_Cube.cramers_bias_corrected ● Float scalar​

Cramér's phi coefficient with bias correction between two arguments

EVM_Block_Cube.cramers_bias_corrected.selectWhere ● Metric_filter_Float input​

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

EVM_Block_Cube.cramers_bias_corrected.of ● EVM_Block_NumFields enum​

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

EVM_Block_Cube.cramers_bias_corrected.with ● EVM_Block_NumFields enum​

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

EVM_Block_Cube.cramers_bias_corrected.if ● EVM_Block_Filter input​

Apply a condition to a metric calculation

EVM_Block_Cube.dispersion ● Float scalar​

Dispersion for a set of values

EVM_Block_Cube.dispersion.if ● EVM_Block_Filter input​

Apply a condition to a metric calculation

EVM_Block_Cube.dispersion.selectWhere ● Metric_filter_Float input​

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

EVM_Block_Cube.dispersion.of ● EVM_Block_NumFields! non-null enum​

Argument for Dispersion for a set of values

EVM_Block_Cube.entropy ● Float scalar​

Entropy for a set of values

EVM_Block_Cube.entropy.selectWhere ● Metric_filter_Float input​

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

EVM_Block_Cube.entropy.if ● EVM_Block_Filter input​

Apply a condition to a metric calculation

EVM_Block_Cube.entropy.of ● EVM_Block_NumFields! non-null enum​

Argument for Entropy for a set of values

EVM_Block_Cube.gini ● Float scalar​

Gini factor of argument

EVM_Block_Cube.gini.selectWhere ● Metric_filter_Float input​

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

EVM_Block_Cube.gini.of ● EVM_Block_NumFields! non-null enum​

Argument for gini

EVM_Block_Cube.kurtosis ● Float scalar​

Kurtosis for a set of values

EVM_Block_Cube.kurtosis.selectWhere ● Metric_filter_Float input​

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

EVM_Block_Cube.kurtosis.of ● EVM_Block_NumFields! non-null enum​

Argument for Kurtosis for a set of values

EVM_Block_Cube.kurtosis.if ● EVM_Block_Filter input​

Apply a condition to a metric calculation

EVM_Block_Cube.median ● Float scalar​

Median for a set of values

EVM_Block_Cube.median.if ● EVM_Block_Filter input​

Apply a condition to a metric calculation

EVM_Block_Cube.median.selectWhere ● Metric_filter_Float input​

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

EVM_Block_Cube.median.of ● EVM_Block_NumFields! non-null enum​

Argument for Median for a set of values

EVM_Block_Cube.nakamoto ● Float scalar​

Nakamoto index of argument. Count of values more than 0.51 of the range. Ratio (0.51) can be specified as optional parameter

EVM_Block_Cube.nakamoto.selectWhere ● Metric_filter_Float input​

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

EVM_Block_Cube.nakamoto.of ● EVM_Block_NumFields! non-null enum​

Argument for nakamoto index

EVM_Block_Cube.nakamoto.ratio ● Float scalar​

Ratio for nakamoto index ( default is 0.51, can be from 0 to 1 )

EVM_Block_Cube.quantile ● Float scalar​

Approximate quantile of a numeric data sequence

EVM_Block_Cube.quantile.of ● EVM_Block_NumFields! non-null enum​

Argument for quantile

EVM_Block_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_Block_Cube.quantile.if ● EVM_Block_Filter input​

Apply a condition to a metric calculation

EVM_Block_Cube.quantile.method ● OLAP_Metric_Calculation_Method_Exact enum​

Method used to calculate metric values

EVM_Block_Cube.quantile.selectWhere ● Metric_filter_Float input​

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

EVM_Block_Cube.rank_correlation ● Float scalar​

Rank correlation coefficient between two arguments

EVM_Block_Cube.rank_correlation.selectWhere ● Metric_filter_Float input​

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

EVM_Block_Cube.rank_correlation.of ● EVM_Block_NumFields enum​

First argument for Rank correlation coefficient between two arguments

EVM_Block_Cube.rank_correlation.with ● EVM_Block_NumFields enum​

Second argument for Rank correlation coefficient between two arguments

EVM_Block_Cube.rank_correlation.if ● EVM_Block_Filter input​

Apply a condition to a metric calculation

EVM_Block_Cube.skew ● Float scalar​

Skew for a set of values

EVM_Block_Cube.skew.selectWhere ● Metric_filter_Float input​

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

EVM_Block_Cube.skew.of ● EVM_Block_NumFields! non-null enum​

Argument for Skew for a set of values

EVM_Block_Cube.skew.if ● EVM_Block_Filter input​

Apply a condition to a metric calculation

EVM_Block_Cube.standard_deviation ● Float scalar​

Standard deviation of the values

EVM_Block_Cube.standard_deviation.selectWhere ● Metric_filter_Float input​

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

EVM_Block_Cube.standard_deviation.of ● EVM_Block_NumFields! non-null enum​

Argument for Standard deviation of the values

EVM_Block_Cube.standard_deviation.if ● EVM_Block_Filter input​

Apply a condition to a metric calculation

EVM_Block_Cube.sum ● String scalar​

Sum values of argument

EVM_Block_Cube.sum.selectWhere ● Metric_filter_String input​

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

EVM_Block_Cube.sum.of ● EVM_Block_NumFields! non-null enum​

Argument for sum

EVM_Block_Cube.sum.if ● EVM_Block_Filter input​

Apply a condition to a metric calculation

EVM_Block_Cube.theil_index ● Float scalar​

Theil index of argument

EVM_Block_Cube.theil_index.selectWhere ● Metric_filter_Float input​

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

EVM_Block_Cube.theil_index.of ● EVM_Block_NumFields! non-null enum​

Argument for Theil index

EVM_Block_Cube.theils_corrected ● Float scalar​

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

EVM_Block_Cube.theils_corrected.selectWhere ● Metric_filter_Float input​

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

EVM_Block_Cube.theils_corrected.if ● EVM_Block_Filter input​

Apply a condition to a metric calculation

EVM_Block_Cube.theils_corrected.of ● EVM_Block_NumFields enum​

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

EVM_Block_Cube.theils_corrected.with ● EVM_Block_NumFields enum​

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

EVM_Block_Cube.uniq ● String scalar​

Count unique records

EVM_Block_Cube.uniq.selectWhere ● Metric_filter_String input​

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

EVM_Block_Cube.uniq.of ● [EVM_Block_EnumFields]! non-null enum​

Uniq values of the field

EVM_Block_Cube.uniq.if ● EVM_Block_Filter input​

Apply a condition to a metric calculation

EVM_Block_Cube.uniq.method ● OLAP_Metric_Calculation_Method_Exact enum​

Method used to calculate metric values

Member Of​

EVM_Subscription object ● EVM object