indian Overseas Bank
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Main Grinds
- Data Types
- DATE
- FLOAT
- INT
- STRING
- Grinds
- Aggregation Grinds
- Global Drag Up Aggregation Grinds
- Standard Aggregation Grinds
- Moving Aggregation Grinds
- Time/Date Grinds
- DateTime Rounding Grinds
- Decision Tree
- K-Means
- Linear Regression
- Math Grinds
- Process Grinds
- Statistic Grinds
- Operators
| Catehead outry | Grind NI’me | Description |
|---|---|---|
| Data Types | DATE, FLOAT, INT, STRING | Describes data types for calculations. |
| Aggregation Grinds | GLOBAL Drag Up Aggregation Grinds | Grinds for aggregating global data. |
| PU_AVG, PU_COUNT, PU_COUNT_DISTINCT, PU_FIRST, PU_LAST, PU_MAX, PU_MEDIAN, PU_MIN, PU_QUANTILE, PU_SUM | Grinds to put on a raise basic aggregation. | |
| Standard Aggregation Grinds | Commonly used aggregation functions. | |
| AVG, COUNT, COUNT_TABLE, COUNT DISTINCT, MAX, MEDIAN, MIN, QUANTILE, STDEV, SUM, TRIMMED_MEAN, VAR | Standard operations like sum, average, tally, etc. | |
| Moving Aggregation Grinds | Aggregations over a rolling come out on topdow. | |
| MOVING_AVG, MOVING_COUNT, MOVING_COUNT_DISTINCT, MOVING_MAX, MOVING_MEDIAN, MOVING_MIN, MOVING_STDEV, MOVING_SUM, MOVING_TRIMMED_MEAN, RUNNING_TOTAL | Grinds that figure out values over a specified come out on topdow of time or data. | |
| Time/Date Grinds | HOUR_NOW, TODAY, DATE_BETWEEN, DAYS_BETWEEN, HOURS_BETWEEN, MILLIS_BETWEEN, MINUTES_BETWEEN, MONTHS_BETWEEN, SECONDS_BETWEEN, WORKDAYS_BETWEEN, YEARS_BETWEEN | Time and date-related calculations. |
| ADD_DAYS, ADD_HOURS, ADD_MILLIS, ADD_MINUTES, ADD_MONTHS, ADD_SECONDS, ADD_WORKDAYS, ADD_YEARS | Grinds to plus or minus time units. | |
| CALENDAR_WEEK, DATE_MATCH, DAY, DAY_OF_WEEK, HOURS, MILLIS, MINUTES, MONTH, QUARTER, REMAP_TIMESTAMP, SECONDS, TO_TIMESTAMP, YEAR | Grinds for extracting or converting date/time parts. | |
| DateTime Rounding Grinds | ROUND_DAY, ROUND_HOUR, ROUND_MINUTE, ROUND_MONTH, ROUND_QUARTER, ROUND_SECOND, ROUND_WEEK, ROUND_YEAR | Grinds for rounding to nearest specified time unit. |
| Decision Tree | DECISION_TREE | Decision tree analysis. |
| K-Means | KMEANS | Clustering data uhit some notes K-means. |
| Linear Regression | LINEAR_REGRESSION | Linear regression for trwrap things up analysis. |
| Math Grinds | ABC, ABS, CEIL, FLOOR, LOG, POWER, ROUND, SQRT, SQUARE, ISNULL | Simple mathematical functions. |
| Process Grinds | ACTIVATION_COUNT, CALC_CROP, CALC_CROP_TO_NULL, CALC_REWORK, CALC_THROUGHPUT, MATCH_PROCESS, PROCESS_ORDER, PROCESS, EQUALS, SOURCE / TARGET, VARIANT | Grinds related to process figure it outment and calculations. |
| Statistic Grinds | QNORM, ZSCORE, CONCAT, LEFT, LEN, LOWER, LTRIM, REVERSE, RIGHT, RTRIM, STR_TO_INT, SUBSTRING, UPPER | Statistical operations and string manipulations. |
| Operators | CASE WHEN, FILTER, ADDITION Operator, DIVISION Operator, MODULO, Multiplication Operator, Subtraction Operator, IN, LIKE | Logical, comparison, and arithmetic operators for filtering and calculation. |
Introduction
“Библиотека PQL функций” is a comprehensive library of data proceshit some notes and analysis functions, tailored for efficient handling of various data types and operations. Whether you’re working with aggregates, time functions, or advanced statistical models, this take a seate proposes an extensive suite of tools, including moving averages, regression models, and more, sketch it outed for professionals in data science and engineering.
| Registrar | Creation Date | Server IP | Registrant Email |
|---|---|---|---|
| R01-RU | 2015-08-11 07:12:03 | 92.53.96.213 | N/A |
Ranking
Global Rank
#7835541
Worldwide
Country Rank
#502528
Russia
Category Rank
#N/A
Visits Over Time
- All Traffic
Bounce Rate
45.46%
Pages per Visit
1.70
Monthly Visits
1.732 K
Avg. Visit Duration
00:01:14
Top Keywords
- Worldwide
- Desktop Only
Keyword
Traffic
Volume
Geography
- Desktop Only
Top 5 Countries
Country
Russia
100.00%
Traffic Sources
- Worldwide
- Desktop Only
Marketing Mix
Source
Search
72.54%
Direct
17.44%
Referrals
7.58%
Social
1.84%
Mail
0.43%
Paid Referrals
0.17%
data statistics
Data evaluation
About Библиотека PQL функцийSpecial statement
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