Introduction Filtering data frames in R is a common task in data analysis. Often we want to subset a data frame to only keep rows that meet certain criteria. A useful filtering technique is keeping rows where a column value falls between two spe... [Read more...]

Introduction In the realm of data manipulation and analysis, efficiency is paramount. One powerful technique to enhance your workflow is setting a column in a data frame as the index. This seemingly simple task can unlock a plethora of benefits,... [Read more...]

Introduction The melt() function in the data.table package is an extremely useful tool for reshaping datasets in R. However, for beginners, understanding how to use melt() can be tricky. In this post, I’ll walk through several examples to demons... [Read more...]

Here is a draft blog post on using the dcast function from the data.table package in R: Introduction The dcast function in the data.table package is a handy tool for reshaping data from long to wide format in R. It allows you to easily aggregate... [Read more...]

Introduction Ah, data! The lifeblood of many an analysis, but sometimes it can feel like you’re lost in a tangled jungle. Thankfully, R offers powerful tools to navigate this data wilderness, and filtering is one of the most essential skills in ... [Read more...]

Introduction Ever wondered what kind of information your data holds in R? Knowing the data type is crucial for performing the right analysis and avoiding errors. This post will equip you with the skills to check data types in R, making your codi... [Read more...]

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Introduction Data wrangling in R is like cooking: you have your ingredients (data), and you use tools (functions) to prepare them (clean, transform) for analysis (consumption!). One essential tool is adding an “index column” – a unique identifie... [Read more...]

Introduction Welcome, fellow R warriors! Today, we delve into the heart of vectorized operations with R’s “apply” family: apply(), lapply(), sapply(), and tapply(). These functions are your secret weapons for efficiency and elegance, so buckle u... [Read more...]

Introduction In the world of data analysis and manipulation, working with dates is a common and crucial task. Whether you’re analyzing financial data, tracking trends over time, or forecasting future events, understanding how to generate date se... [Read more...]

Introduction When working with dates in R, you’ll often need to find the first or last day of the current month or any given month. There are a couple easy ways to do this using the lubridate package and base R functions. In this post, I’ll show... [Read more...]

Introduction Grouping data by week is a common task in data analysis. It allows you to summarize and analyze your data on a weekly basis. In R, there are a few different ways to group data by week, but one easy method is using the strftime() fun... [Read more...]

Introduction Have you ever stared at a date in R and wondered, “What day of the week was this?!” Fear not, fellow data wranglers! Today, we embark on a journey to conquer this seemingly simple, yet surprisingly tricky, task. Buckle up, because w... [Read more...]

Introduction As an R programmer, you may often encounter datasets where you need to determine whether a column contains date values. This task is crucial for data cleaning, manipulation, and analysis. In this blog post, we’ll explore various met... [Read more...]

Introduction Hello fellow R enthusiasts! Today, we’re diving into a common task in data analysis and manipulation: checking if a date falls between two given dates. Whether you’re working with time-series data, financial data, or any other type ... [Read more...]

Introduction When working with dates in R, you may need to extract the week number for any given date. This can be useful for doing time series analysis or visualizations by week. In this post, I’ll demonstrate how to get the week number from da... [Read more...]

Introduction Have you ever battled with Excel’s quirky date formats in your R projects? If so, you’re not alone! Those cryptic numbers can be a real headache, but fear not, fellow R warriors! Today, we’ll conquer this challenge and transform tho... [Read more...]

Yesterday I was working on a project that required me to create a SQL query to generate a table of accounts receivables pathways. I thought it would be interesting to share the SQL code I wrote for this task. The code is as follows: -- Create the... [Read more...]

Introduction Hi fellow coders, data wranglers, and all-around R enthusiasts! Have you ever been stuck calculating the number of business days between two dates? You know, like figuring out how long that project actually took, excluding weekends ... [Read more...]

Introduction Ever wished you could skip ahead a few days for that weekend getaway, or rewind to relive a magical moment? While real-life time travel remains a sci-fi dream, in R, adding days to dates is a breeze! Today, we’ll explore both base R... [Read more...]