Explore the power of line charts in our ongoing series on data visualization. This article explains how to create impactful line charts using Excel 365. This tutorial not only guides you through chart creation but also emphasizes data visualization best practices to enhance clarity and professionalism. Whether you're new to charting or refining your skills, this article equips you with essential techniques for visually compelling data storytelling.

Master the art of presenting themes effectively! Whether it's a report, summary, infographic, or presentation, the way you present your themes from thematic analysis can make or break your findings' impact. Tailor to your audience, provide solid context, organize logically, craft clear titles, bring themes to life with real quotes, offer deep analysis, use visuals wisely, and conclude with key insights. Elevate your thematic analysis presentations with these expert tips!

In this article, we'll show you an easy way to align y-axis labels in Excel charts and Microsoft applications. It's a simple but important step to make sure your data visualizations are clear and accurate.

In this first instalment of our Data Visualization Applications series, we'll guide you through the art of transforming raw data into compelling visualizations. We kick things off by delving into the power and simplicity of the bar chart. By following these steps and best practices, you'll elevate your charts to ensure your data speaks clearly and convincingly. Stay tuned for more insights and techniques in our Data Visualization Applications series.

Want visuals that best express your data story? Here are some ideas to clean up those charts and help make them pop.

This article walks you step-by-step through the process we use when merging datasets from multiple sources.

Check out the top 10 posts of 2022 from Eval Academy.

Data integration is a way of merging these data from different sources through mixed methods. In this article, we discuss how qualitative and quantitative data can be integrated at the study design level, methods, or analysis level.

Here, I share solutions to two challenges you are likely to come across while entering survey data: 1) coding complex question types and 2) dealing with unclear responses. Addressing these challenges will require some advanced coding that I did not cover in my first article.

When entering survey data, it is important that it is accurate, easy to analyze, and fast. Use these tips to prevent mistakes from the beginning.

The most exciting part about conducting a survey is seeing the results – finally your hard work has come to fruition, and you get to hear what everybody had to say! But before you can get to that step, you need to transform the stack of paper surveys on your desk into useable data.

In this article, I share my three-step system for making survey data entry as easy and painless as possible, which comes from my experience designing, entering, and analyzing survey data.