Whether you're managing a classroom roster, tracking inventory, or analyzing survey responses, COUNTIF can help you quickly make sense of your data. Learn how to use the function in Google Sheets.

We sift through tons of data from different sources to uncover the insights we share in our articles. These 10 steps will help you analyze any dataset with confidence

Pivot tables are one of the most powerful features in Microsoft Excel and Google Sheets. This quick guide will help you get started with pivot tables.

Make your spreadsheets smarter. This guide shows you how to use the IF and IFS functions, and combine them with the powerful VLOOKUP function to check conditions, assign categories, and automate decisions—no advanced skills needed.

The CHOOSECOLS and SPLIT functions in Google Sheets are powerful tools that make extracting and reshaping data fast and effortless. Learn how the work.

If you're working with maps, spatial analysis, or location-based data, you'll likely encounter GeoJSON files. In this article, we’ll break down what you need to know about GeoJSON, how to create one, and the tools you can use to open and work with it.

In this guide, we’ll explain the most popular geospatial datatypes and file formats, what they’re used for, what software can open them, and how to choose the right one for your project.

In this guide, we’ll explain what shapefiles are, why they matter, and how to convert a map into a shapefile using simple steps.

Google Sheets is a powerful tool for organizing and analyzing data. Whether you're adding numbers, working with text, or searching for information, these built-in functions can save time and effort. Here are ten of the most useful Google Sheets functions.

Data is stored and exchanged in various file formats. Each format serves a specific purpose, ranging from text storage to complex databases. Understanding these file types, their uses, and the tools required to access them is essential for efficient data handling.

VLOOKUP is important and incredibly useful in spreadsheet applications like Google Sheets because it provides a straightforward and efficient way to retrieve specific information from large datasets.

Pandas is a powerful Python library that is commonly used by data scientists and data analysts to explore, clean, and process their data. Here are five common methods that you can expect to use when working with Pandas. 

What do you do when you can’t find a dataset for your project? Well, one option is to scrape websites for the data you need. Here’s an example of how it’s done.

Google Sheets makes it easy to clean data. Let’s explore three Google Sheets data cleaning features — Cleanup Suggestions, Remove Duplicates and Trim Whitespace.

Google Sheets Import Functions provide a hassle-free way for users to import data from a wide range of online sources, including other Google Sheets, with ease.

Looking for data for your next project? Check out Open Data sources like Statistics Canada, Data.gov, and the CDC for datasets. They’re free to access, reuse, and distribute. Check out the list we’ve assembled.

With a multitude of chart types available, it's essential to match the data's characteristics and the story you want to tell with the appropriate visualization.

Datawrapper is a popular data visualization tool trusted by journalists, educational institutions, finance companies, government institutions, and think tanks. It’s a useful application for those seeking to build interactive, responsive charts, tables, and maps, but have limited coding skills or time.

We spend a lot of time working in Google Sheets and we are pleasantly surprised when we learn something new that improves our workflow. It’s pretty unbelievable that we hadn’t come across this before. One thing we recently discovered is the ImportHTML function.

Books on data science, data analytics, and data visualization are indispensable companions for anyone looking to harness the power of data to make informed decisions in an increasingly data-driven world.