4.2.1 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 4-2 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.