Wednesday, June 12, 2013

Part 3–Getting start with Statistics for Oracle Data Science projects

This is the Part 3 blog post on getting started with Statistics for Oracle Data Science projects.

The table below is a collection of most of the statistical functions in Oracle 11.2. The links in the table bring you to the relevant section of the Oracle documentation where you will find a description of each function, the syntax and some examples of each.

ABS

LENGTH2

REGR_AVGX

ACOS

LENGTH4

REGR_ACGY

Aggregrate functions

LENGTHB

REGR_COUNT

Analytic functions

LENGTHC

REGR_INTERCEPT

Arithmetic operators

LN

REGR_R2

ASIN

LNNVL

REGR_SLOPE

ATAN

LOG

REGR_SXX

ATAN2

LOWER

REGR_SXY

AVG

LPAD

REGR_SYY

CAST

LTRIM

ROLLUP clause

Comparison functions

MAX

ROUND

CONCAT

MEDIAN

SAMPLE

CORR

MIN

SIN

CORR_K

MOD

SINH

CORR_S

MODEL clause

SQRT

COS

NTH_VALUE

STATS_BINOMIAL_TEST

COSH

Numeric Functions

STATS_CROSSTAB

COUNT

PERCENT_RANK

STATS_F_TEST

COVAR_POP

PERCENTILE_CONT

STATS_KS_TEST

COVAR_SAMP

PERCENTILE_DISC

STATS_MODE

CUBE clause

Pivot operations

STATS_MW_TEST

CUME_DIST

POWER

STATS_ONE_WAY_ANOVA

CV

PREDICTION

STATS_T_TEST_INDEP

Data functions

PREDICTION_BOUNDS

STATS_T_TEST_INDEPU

DENSE_RANK

PREDICTION_COST

STATS_T_TEST_ONE

EXP

PREDICTION_PROBABILITY

STATS_T_TEST_PAIRED

FLOOR

PREDICTION_SET

STATS_WSR_TEST

GREATEST

PRESENTNNV

STDDEV

Grouping Sets

PRESENTNTV

STDEEV_POP

INTERSECT

Prior clause

STDDEV_SAMP

Interval arithmetic

PRIOR

SUM

INTERVAL

RANK

TAN

Julian dates

RAWTOHEX

TANH

LAG

REGEXP_COUNT

t-test

LAST

REGEXP_INSTR

VAR_POP

LEAD

REGEXP_LIKE

VAR_SAMP

LEAST

REGEXP_REPLACE

VARIANCE

LENGTH

REGEXP_SUBSTR

WIDTH_BUCKET

The list about may not be complete (I’m sure it is not), but it will cover most of what you will need to use in your Oracle projects.

If you come across or know of other useful statistical functions in Oracle let me know the details and I will update the table above to include them.

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