PostgreSQL Arrays: Creating, Indexing & Querying with Real Examples
PostgreSQL Arrays: Complete Guide to Array Types PostgreSQL arrays store multiple values in a single column. …
7 min Read
PostgreSQL Arrays: Complete Guide to Array Types PostgreSQL arrays store multiple values in a single column. …
7 min Read
PostgreSQL Authentication: How pg_hba.conf Controls Database Access Before a user can connect to PostgreSQL, the server …
8 min Read
PostgreSQL Complex JOIN Conditions: Beyond Simple Equality Most JOINs use simple equality: ON table1.id = table2.id. But …
10 min Read
PostgreSQL Data Types: Complete Reference Guide Every database column needs a data type. You might think this is just a …
17 min Read
PostgreSQL Database Triggers: Complete Guide Triggers automatically execute when data changes. They’re powerful …
9 min Read
PostgreSQL Date Functions & Formatting: Complete Guide Working with dates requires specific functions - extracting …
8 min Read
PostgreSQL DISTINCT and GROUP BY: Remove Duplicates & Summarize Data Sometimes you don’t want individual …
8 min Read
PostgreSQL Error Handling: EXCEPTION Blocks & RAISE Functions fail sometimes - queries return no data, constraints …
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PostgreSQL INNER JOIN Examples: From Basic to Advanced INNER JOINs are the most common join type. They return only …
10 min Read
PostgreSQL Installation Guide: Complete Setup for Windows, Mac & Linux Getting PostgreSQL up and running on your …
12 min Read
PostgreSQL JOINs: INNER, LEFT, RIGHT, FULL with Real Examples JOINs are how you combine data from multiple tables. …
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PostgreSQL JSON Functions & Operators: Complete Guide PostgreSQL’s JSON and JSONB support is powerful but has …
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PostgreSQL LEFT JOIN vs RIGHT JOIN: Complete Guide LEFT and RIGHT JOINs are outer joins - they keep all rows from one …
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PostgreSQL LIMIT and OFFSET: Pagination Techniques & Best Practices LIMIT retrieves a specific number of rows. …
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PostgreSQL Multiple JOINs: Chaining 3+ Tables Together Real-world databases require joining more than two tables. You …
11 min Read
PostgreSQL PL/pgSQL Functions: Complete Syntax Guide PL/pgSQL is PostgreSQL’s procedural language. It adds …
9 min Read
PostgreSQL SELECT Statement: Complete Guide with WHERE, ORDER BY & LIMIT The SELECT statement is the foundation of …
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PostgreSQL Stored Procedures, Functions & Triggers: Complete Guide Database logic doesn’t always belong in …
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PostgreSQL Subqueries: Nested SELECT Statements for Complex Logic A subquery (or inner query) is a SELECT statement …
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PostgreSQL Users & Roles: Creating and Managing Database Access In PostgreSQL, “users” and …
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PostgreSQL UUID vs SERIAL: Choosing the Right Primary Key One of the first decisions you make when designing a table is: …
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PostgreSQL WHERE Clause: Advanced Filtering & Pattern Matching The WHERE clause is where you ask specific questions …
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PostgreSQL: Absolute Value In my work building financial dashboards and inventory systems, I constantly need to measure …
7 min Read
PostgreSQL: Add Hours to Timestamp You need to calculate future times by adding hours. Maybe you’re scheduling …
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PostgreSQL: Add Minutes to Timestamp When you’re building scheduling systems, setting cache expiration times, or …
4 min Read
PostgreSQL: Calculate Age in Days I constantly need to know “how old is this?” Whether it’s how many …
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PostgreSQL: Calculate Business Days Between Dates When you’re tracking SLAs, estimating project timelines, or …
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PostgreSQL: CASE WHEN Multiple Conditions I remember the first time I tried to classify employees into job levels based …
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PostgreSQL: Cast JSONB to Integer You’ve got numeric data stored inside JSONB objects, and you need to treat it as …
5 min Read
PostgreSQL: Cast VARCHAR to Boolean I’ve dealt with legacy systems that store boolean flags as …
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PostgreSQL: Change String Case I’ve dealt with enough inconsistent data to know that case matters more than …
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PostgreSQL: Check If Array Contains NULL Working with arrays, you sometimes need to know: “Does this array have …
2 min Read
PostgreSQL: Check If String Is Date When you’re importing messy data, you need to know which rows have valid dates …
2 min Read
PostgreSQL: Combine Date and Time into Timestamp I’ve worked with systems where DATE and TIME are stored …
6 min Read
PostgreSQL: Compare JSON Arrays When you’re working with JSON data that contains arrays—like skill sets for …
3 min Read
PostgreSQL: Convert Date to Unix Timestamp You need to work with Unix timestamps — the number of seconds since January …
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PostgreSQL: Convert Integer to Decimal You need to convert integer values to decimals for precise calculations, …
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PostgreSQL: Convert Text to Date When you’re importing data from CSV files, APIs, or external systems, dates …
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PostgreSQL: Extract JSON Path Working with API responses, configuration data, or semi-structured information, …
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PostgreSQL: Fill Missing Dates When you’re analyzing time series data—sales by day, events by hour, user activity …
2 min Read
PostgreSQL: Filter by JSONB Field If you’re storing data as JSONB in PostgreSQL and need to filter rows based on …
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PostgreSQL: Find Last Occurrence of Character I’ve spent more time than I’d like to admit trying to extract …
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PostgreSQL: Find Position of Element in Array When you’re working with arrays in PostgreSQL, you often need to …
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PostgreSQL: Flatten Nested Arrays I’ve encountered data structures where arrays are nested inside arrays—maybe a …
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PostgreSQL: Format Number If you’ve ever had to display financial data to customers or executives, you know that …
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PostgreSQL: Generate Random String I’ve built systems that need to generate random tokens for user verification, …
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PostgreSQL: Get Distinct Array Elements I’ve worked with systems where arrays accumulate duplicates—maybe a …
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PostgreSQL: Get Week Start Date When I’m building reports that group data by week, or when I need to find the …
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PostgreSQL: GREATEST and LEAST Functions When I’m building commission calculations, handling multiple price lists, …
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PostgreSQL: Merge JSON Objects When you’re working with configuration data, user profiles, or any system that …
2 min Read
PostgreSQL: Remove Last Character from String You’ve got messy data with trailing characters you don’t need. …
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PostgreSQL: Remove Specific Characters from String Remove specific unwanted characters like dashes, brackets, or special …
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PostgreSQL: Round Decimal If you’ve ever worked with financial data, pricing, or any calculation involving …
6 min Read
PostgreSQL: Select Every Nth Row When you’re working with large datasets, sometimes you need to sample data—taking …
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PostgreSQL: Slice Array Extract a subset of elements from an array using slicing syntax. Problem Array: {Python, SQL, …
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PostgreSQL: String Concatenation I’ve spent countless hours building user-facing reports, email templates, and …
9 min Read
PostgreSQL: Subtract Hours from Timestamp I frequently need to look back in time—finding events from the past 24 hours, …
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PostgreSQL: Sum Array Column When you store related numeric values in an array—like multiple sales amounts for an …
2 min Read
PostgreSQL: Trim Whitespace from Strings If you’ve ever imported data from CSV files, spreadsheets, or external …
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PostgreSQL: Truncate Decimal I’ve run into scenarios where I need to be conservative with numbers—always rounding …
6 min Read
psql Command Reference: Essential PostgreSQL Command-Line Commands The psql command-line tool is your primary way to …
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Introduction A picture is worth a thousand words. In data analysis, this is absolutely true. A well-designed …
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Descriptive statistics form the foundation of data analysis, providing summary measures that describe the main features …
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R comes with built-in datasets that are invaluable for learning, teaching, and prototyping data analysis techniques. …
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Data frames are absolutely central to R programming. In my work analyzing real datasets, I’d say I spend 80% of my …
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Importing and exporting data is one of the first and most important tasks in data analysis. Whether you’re working …
8 min Read
Data transformation is one of the most critical skills you’ll develop as an R programmer. In my experience working …
12 min Read
Distance and similarity metrics are fundamental tools in machine learning, clustering, and data analysis. They measure …
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File and system operations are essential for data analysis workflows, allowing you to manage input/output files, …
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Functions and control flow are the backbone of R programming. They enable you to write reusable, organized code and …
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Hypothesis testing is the foundation of statistical inference. It allows you to make decisions about populations based …
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Matrices are the backbone of statistical computing. Whether you’re aware of it or not, every time you fit a linear …
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Probability and combinatorics are foundational to statistics, data science, and machine learning. Whether you’re …
8 min Read
Regular expressions (regex) are one of those skills that seem intimidating at first, but once they click, they’ll …
8 min Read
Tables are fundamental tools for data exploration and analysis, providing concise summaries of categorical variables and …
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Time series analysis is essential for analyzing data ordered chronologically,whether tracking stock prices, weather …
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When you load data into R, understanding the data types of each column is crucial. If a column should be numeric but R …
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Expected value is the average outcome you’d expect from a random process. It’s crucial in statistics, …
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One of the first things you’ll do in R is load packages to extend functionality. But before you can load a package …
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The antilog (or inverse logarithm) is the process of finding the original value from its logarithmic representation. If …
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The diff() function calculates differences between consecutive elements in a vector or time series. It’s essential …
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If you’ve ever calculated correlation in R using cor(), you got just the correlation coefficients. But in real …
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The assign() function creates variables programmatically;useful when you don’t know the variable name until …
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The cat() function concatenates and prints objects to the console or file. It’s commonly used for creating …
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The dist() function calculates distances between observations (rows) in a dataset. It’s fundamental for …
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The identical() function performs a strict equality test;it checks if two objects are exactly the same in every way. …
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Introduction You’re analyzing customer data and notice something interesting: customers with higher income seem to …
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Data cleaning is the most time-consuming part of any data analysis project. I’d estimate that 70-80% of my time as …
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The function to calculate z-score in Excel is STANDARDIZE(). This function accepts input parameters like data set, mean, …
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Yes, Z-Score can be negative. The negative z score value represents the raw score value that is either left or below the …
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In this article, we will discuss what is the critical value of z and when to use the critical value of z. We will …
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The area between two negative scores can be found by finding the area between two z-score and subtracting the small area …
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In this article, we will discuss step by step guide on how to find the area between two z scores on both sides of the …
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The normal distribution is a continuous probability distribution. The total area under the standard normal curve is …
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In this article, we will discuss step by step guide on how to find the area under the standard normal curve to the right …
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In this blog post, we will discuss how to find the z-score for having an area 0.09 to the left of the standard normal …
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Z Score for the top 5 percentile of a normal distribution is 1.645. To find the top 5th percentile of a normal …
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The Normal Cumulative Distribution Function normalcdf() is used to find percentiles from the z score on the TI-84 …
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The Inverse Normal Probability Distribution Function invNorm() is used to find z score from the percentile on TI-84 plus …
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The Inverse Normal Probability Distribution Function invNorm() is used to find the z score on TI-NSpire. invNorm(area, …
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To transform the set of raw scores into a set of z-scores in order, you will need to convert them into a standard normal …
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A negative Z score value indicates the raw score value is either left or below the mean of the standard normal …
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The one-sample proportion Z-test is a statistical tool used to conduct a hypothesis test about population …
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The one-sample Z-test is a statistical hypothesis test used to determine whether the mean of a single sample is …
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Z score allows a comparison between two scores that are from different normal distributions of raw scores to …
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Z table or the Z-score table also called the standard normal table is a mathematical table used to find the probability …
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What is a Z-Score? Z-score is the distance of the raw score value from the mean in terms of standard deviation. Raw …
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Calculating quantiles by group is crucial for understanding data distribution within subgroups. Instead of a single …
3 min Read
Rolling correlation calculates correlation coefficients across a moving window of data. It’s invaluable when …
3 min Read
Checking package versions is critical for reproducibility and debugging. When code breaks after updating packages, the …
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Comments are essential for readable, maintainable code. While R doesn’t have a native block comment syntax (like …
3 min Read
The sign() function returns the sign of a number: -1 for negative, 0 for zero, and 1 for positive. It’s simpler …
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The get() function retrieves an object by name when you don’t know the object’s name until runtime. …
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The sink() function redirects all console output (print statements, results) to a file instead of displaying it on …
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The with() and within() functions allow you to work with data frame columns as if they were variables in your workspace. …
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