About the Exploratory Data Analysis Methods

8.2.1 About the Exploratory Data Analysis Methods

OML4Py provides methods that enable you to perform exploratory data analysis.

The following table lists methods of OML4Py data type classes with which you can perform common statistical operations and indicates whether the class supports the method.

Table 8-2 Data Exploration Methods Supported by Data Type Classes

Method	Description	oml.Boolean	oml.Bytes	oml.Float	oml.String	oml.DataFrame	oml.Datetime	oml.Timedelta	oml.Timezone	oml.Integer
`corr`	Computes pairwise correlation between all columns in an `oml.DataFrame` where possible, given the type of coefficient.
`count`	Computes the number of elements that are not NULL in the series data object or in each column of an `oml.DataFrame`.
`crosstab`	Computes a cross-tabulation of two or more columns in an `oml.DataFrame`.
`cumsum`	Computes the cumulative sum after an `oml.Float` series data object is sorted, or of each float or Boolean column after an `oml.DataFrame` object is sorted.
`describe`	Computes descriptive statistics that summarize the central tendency, dispersion, and shape of an `oml` series data distribution, or of each column in an `oml.DataFrame`.
`kurtosis`	Computes the kurtosis of the values in an `oml.Float` series data object, or for each float column in an `oml.DataFrame`.
`max`	Returns the maximum value in a series data object or in each column in an `oml.DataFrame`.
`mean`	Computes the mean of the values in an `oml.Float` series object, or for each float or Boolean column in an `oml.DataFrame`.
`median`	Computes the median of the values in an `oml.Float` series object, or for each float column in an `oml.DataFrame`.
`min`	Returns the minimum value in a series data object or of each column in an `oml.DataFrame`.
`nunique`	Computes the number of unique values in a series data object or in each column of an `oml.DataFrame`.
`pivot_table`	Converts an `oml.DataFrame` to a spreadsheet-style pivot table.
`sort_values`	Sorts the values in a series data object or sorts the rows in an `oml.DataFrame`.
`skew`	Computes the skewness of the values in an `oml.Float` data series object or of each float column in an `oml.DataFrame`.
`std`	Computes the standard deviation of the values in an `oml.Float` data series object or in each float or Boolean column in an `oml.DataFrame`.
`sum`	Computes the sum of the values in an `oml.Float` data series object or of each float or Boolean column in an `oml.DataFrame`.

Parent topic: Explore Data