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Extracting actionable insights from qualitative data is not easy.
You can easily get overwhelmed, especially if the data is complex and bulky. It would help if you had a tool that can scan through the qualitative data to cherry-pick low-hanging insights.
This is where a Word Cloud Chart comes in.
The chart uses simple text analysis to help you visualize and summarize qualitative data, such as customer feedback and search terms.
So how can you access a Word Cloud Chart?
You don’t have to do away with Google Sheets for other expensive tools. You can supercharge it by installing third-party add-ons to access an easy-to-use an awesome Word Cloud Chart.
In this blog, you’ll learn the following:
Before jumping right into the how-to guide, we’ll address what is qualitative data visualization?
Qualitative data can be observed and recorded.
Besides, the data type is non-numerical in nature. And it’s collected through methods of observations, one-to-one interviews, conducting focus groups, etc. Qualitative data is categorical in nature because it can be organized based on the attributes and properties of data.
We recommend tested and proven charts, such as Tag Cloud, to display insights into qualitative data, such as keywords or search terms.
Take a look at the table below.
How easy is it to tell a reliable data story by simply looking at the chart?
| Feedback | No. of Feedback |
| Good | 247 |
| Very Good | 499 |
| Super | 303 |
| Satisfactory | 105 |
| Acceptable | 415 |
| Bad | 435 |
| Worst | 191 |
| Normal | 382 |
| Substandard | 117 |
| Poor | 195 |
| Awful | 400 |
| Terrible | 390 |
| distressing | 421 |
| regretful | 345 |
| unpleasant | 308 |
| nasty | 193 |
| Good Taste | 125 |
| Recommended | 380 |
| Outstanding | 290 |
| Satisfactory | 391 |
Note the difference after visualizing the data above. You can easily tell what’s going on. For instance, ‘satisfactory’ and ‘very good’ are widely repeated in the qualitative data.
How to visualize qualitative data should never be stressful or even time-consuming. Keep reading to discover more.
Finally, we’re in the section, where you get to learn how to visualize qualitative data in Google Sheets. You don’t want to miss this.
The add-on you need for visualizing Qualitative Data in Google Sheets is ChartExpo.
So, what is ChartExpo?
ChartExpo is an add-on you can install in Google Sheets to access visually appealing and ready-made qualitative data charts, such as a Word Cloud.
ChartExpo produces charts that are incredibly easy to interpret. Besides, it comes loaded with lot of ready-made and visually appealing CSAT charts you’ll never find in Google Sheets.
You don’t need to learn programming or coding to use ChartExpo.
Yes, you read that right.
This section will use a Word Cloud Chart to display insights into the table below:
| Feedback | No. of Feedback |
| Good | 247 |
| Very Good | 499 |
| Super | 303 |
| Satisfactory | 105 |
| Acceptable | 415 |
| Bad | 435 |
| Worst | 191 |
| Normal | 382 |
| Substandard | 117 |
| Poor | 195 |
| Awful | 400 |
| Terrible | 390 |
| distressing | 421 |
| regretful | 345 |
| unpleasant | 308 |
| nasty | 193 |
| Good Taste | 125 |
| Recommended | 380 |
| Outstanding | 290 |
| Satisfactory | 391 |
Install the ChartExpo add-on for Google Sheets by clicking this link to learn more. And then follow the simple and easy steps below.
In the coming section, we’ll address the following question: why should you visualize qualitative data?
You can use the chart to understand your audience’s feelings about a topic or situation. Besides, you can leverage qualitative-based charts, such as Word Cloud, to display insights. Most data visualization experts use the chart to summarize the market feedback using first-hand data.
You can easily get live feedback from your audience in real-time.
The qualitative charts can help audiences feel part of your data story.
The qualitative data-oriented visualization designs, such as a Word Cloud, are incredibly engaging and visually appealing to a majority of the audiences. The chart can be an icebreaker or an entry point for a topic of discussion.
Our brains process visual content 60,000 times faster than texts and numbers. This provides a logical rationale for using the Word Cloud generator to analyze your textual data for actionable insights.
Charts are easy to follow. Besides, they can provide you with insights into larger qualitative data sets.
Following steps should be considered why doing qualitative data analysis.
Once you have collected qualitative data, it’s essential to organize and clean it.
The first step entails arranging it systematically.
Arranging data means converting all the data into a text format. You can either export it into a spreadsheet manually or by using computer-assisted analysis tools.
Coding is one of the best ways to compress a tremendous amount of qualitative data. Besides, it entails categorizing and assigning properties and patterns of the data points.
After assigning codes, build on the patterns to extract in-depth insights into your qualitative data.
Validating data is one of the crucial steps of qualitative data analysis.
Since data is quintessential for research, it’s imperative to remove incomplete variables and other errors. Data validation is a recurring step that needs to be followed throughout the research process.
There are two dimensions to validating data:
How to visualize qualitative data should never steal your precious time. Keep reading to discover brand-new hacks that could save you hours.
Following sources you can consider to collect qualitative data.
One-on-one interviews are commonly used in gathering qualitative data due to the personal approach.
You can easily collect data directly from respondents on a one-on-one basis. The interview may be informal and unstructured – conversational. Use open-ended questions spontaneously.
Focus groups are done in a group discussion setting.
The group is mostly limited to 6-10 people, and a moderator is assigned to steward the ongoing discussion.
In most focus groups, the respondents usually have something in common. For example, a researcher conducting a study on track runners will likely choose athletes who specialize in track and have sufficient knowledge of the subject matter.
This entails the use of the already existing documents as the key data source. You can use this second-hand information to inform on your new research.
This method entails keeping a close eye on your research subjects for in-depth insights.
This method involves taking notes, video and audio recording, photography, and other similar methods.
It entails collecting data on the same source repeatedly over an extended period.
It’s a form of observational research method that goes on for a few years and, in some cases, decades. It aims to find correlations through an empirical study of subjects with common traits.
This method entails gathering data via case studies.
The versatility of this method is demonstrated by how you can easily analyze simple and complex subjects. The strength of this method lies in the combination of one or more qualitative data collection methods to draw inferences.
In the coming section, we’ll address the pros of visualizing qualitative data.
You can easily highlight key terms in a series of texts, and categorize text by topic, sentiment, and more, saving hours of reading time.
With a qualitative data dashboard, you can extract high-level insights.
Our brains process visual data 60,000 times faster than texts and numbers.
Qualitative charts, such as Word Cloud, simplify complex qualitative data and communicate actionable insights to team managers.
Customer feedback holds a trove of insights.
Through a qualitative data chart, you can easily get an overview of the features, products, and topics that are most important to your customers.
You can easily analyze and visualize insights over time to detect problems and their root causes.
The tested and proven way of visualizing qualitative data is using a Word Cloud Chart.
The chart is amazingly easy to decode.
Frequent words or phrases are shown in larger, bolder fonts. On the other hand, less-frequent words or phrases are shown in a smaller font.
Our brains process visual data 60,000 times faster than texts and numbers. Qualitative charts, such as Word Cloud, simplify complex qualitative data and communicate ideas and concepts to team managers.
You can easily analyze and visualize insights over time to detect problems and their root causes.
Extracting actionable insights into qualitative data is not a walk in the park.
You can easily get overwhelmed, especially if the data is complex and bulky. It would help if you had a tool that can scan through the qualitative data to cherry-pick low-hanging insights.
This is where a Word Cloud Chart comes in.
The chart uses simple text analysis to help you visualize and summarize qualitative data, such as customer feedback and search terms.
So how can you access a Word Cloud Chart?
Google Sheets does not natively support Word Cloud Chart. You don’t have to do away with Google Sheets for other expensive tools.
To access ready-made qualitative-based charts, such as Word Cloud, we recommend you install third-party apps, such as ChartExpo, into your Google Sheets.
Essentially, ChartExpo is an add-on you can easily download and install in your Google Sheets app. More so, the tool comes with insightful and ready-to-go qualitative-oriented charts.
How to visualize qualitative data should never consume your precious time.
Sign up for a 7-day trial to enjoy unlimited access to simple and visually appealing qualitative data charts, such as a Word Cloud.
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What is a Likert scale rating? Click here to learn how to create a Likert scale survey using Google Forms and analyze survey data in Google Sheets.
What is a survey scale? Click to learn how to create a survey using Google Forms and how to analyze survey scale questions in Google Sheets.
What is a trendline? Click to learn types of trendlines to add in your visualizations and how to add a trendline in Google Sheets.
