Guides

Let's Group Data Using the Group By Feature

May 17, 2023

In the previous Walla dashboard, statistics were based solely on the current options. This was done to reflect the current nature of the data project, and it was useful for checking the data when the changed options were completely different from the previous ones.

However, if the options were changed even slightly in the middle, for example, changing from '그렇다 (Yes)' to '그렇습니다 (Yes)' as an example, then all the previous data (corresponding to '그렇다') had to go into 'other' responses.

Today, let's take a look at the newly updated Group By feature that allows you to prepare for such cases and analyze data more flexibly.

Suppose you have responses for a specific multiple-choice question as follows:


The newly released Group By feature is shown on the right. With Group By, you can perform the following functions:

  • Group one or more responses (drag & drop).

  • Create groups (plus icon in the top right corner).

  • Edit the name of a group (pencil icon).

  • Hide or show a group (eye icon).

  • Delete a group. When a group is deleted, the responses go into 'others' (trash can icon).


Here, with the newly released feature, you can easily group '경기도' and '인천' together and change the group's name to '경인'. Simply drag and drop to group them and change the group's name from '경기도' to '경인'.


By grouping these two responses, you can see that they are now combined as '경인' in the left pie chart.


Now, what happens if you hide the '경인' data? If you hide '경인', you will see the data values for Gyeongsang-do and Seoul displayed.


Next, let's try deleting the '경인' group altogether. In this case, you will notice that the responses are moved to 'others'. If you want to create a group again, you can easily add one by clicking the [+] button next to [Group by] in the top right corner.


Data grouping is no longer difficult, right? If you have any questions about the Group By feature or any other features, please feel free to ask! Walla is here to provide you with better service.

In the previous Walla dashboard, statistics were based solely on the current options. This was done to reflect the current nature of the data project, and it was useful for checking the data when the changed options were completely different from the previous ones.

However, if the options were changed even slightly in the middle, for example, changing from '그렇다 (Yes)' to '그렇습니다 (Yes)' as an example, then all the previous data (corresponding to '그렇다') had to go into 'other' responses.

Today, let's take a look at the newly updated Group By feature that allows you to prepare for such cases and analyze data more flexibly.

Suppose you have responses for a specific multiple-choice question as follows:


The newly released Group By feature is shown on the right. With Group By, you can perform the following functions:

  • Group one or more responses (drag & drop).

  • Create groups (plus icon in the top right corner).

  • Edit the name of a group (pencil icon).

  • Hide or show a group (eye icon).

  • Delete a group. When a group is deleted, the responses go into 'others' (trash can icon).


Here, with the newly released feature, you can easily group '경기도' and '인천' together and change the group's name to '경인'. Simply drag and drop to group them and change the group's name from '경기도' to '경인'.


By grouping these two responses, you can see that they are now combined as '경인' in the left pie chart.


Now, what happens if you hide the '경인' data? If you hide '경인', you will see the data values for Gyeongsang-do and Seoul displayed.


Next, let's try deleting the '경인' group altogether. In this case, you will notice that the responses are moved to 'others'. If you want to create a group again, you can easily add one by clicking the [+] button next to [Group by] in the top right corner.


Data grouping is no longer difficult, right? If you have any questions about the Group By feature or any other features, please feel free to ask! Walla is here to provide you with better service.

In the previous Walla dashboard, statistics were based solely on the current options. This was done to reflect the current nature of the data project, and it was useful for checking the data when the changed options were completely different from the previous ones.

However, if the options were changed even slightly in the middle, for example, changing from '그렇다 (Yes)' to '그렇습니다 (Yes)' as an example, then all the previous data (corresponding to '그렇다') had to go into 'other' responses.

Today, let's take a look at the newly updated Group By feature that allows you to prepare for such cases and analyze data more flexibly.

Suppose you have responses for a specific multiple-choice question as follows:


The newly released Group By feature is shown on the right. With Group By, you can perform the following functions:

  • Group one or more responses (drag & drop).

  • Create groups (plus icon in the top right corner).

  • Edit the name of a group (pencil icon).

  • Hide or show a group (eye icon).

  • Delete a group. When a group is deleted, the responses go into 'others' (trash can icon).


Here, with the newly released feature, you can easily group '경기도' and '인천' together and change the group's name to '경인'. Simply drag and drop to group them and change the group's name from '경기도' to '경인'.


By grouping these two responses, you can see that they are now combined as '경인' in the left pie chart.


Now, what happens if you hide the '경인' data? If you hide '경인', you will see the data values for Gyeongsang-do and Seoul displayed.


Next, let's try deleting the '경인' group altogether. In this case, you will notice that the responses are moved to 'others'. If you want to create a group again, you can easily add one by clicking the [+] button next to [Group by] in the top right corner.


Data grouping is no longer difficult, right? If you have any questions about the Group By feature or any other features, please feel free to ask! Walla is here to provide you with better service.

Get Started

Continue Reading

EDITORIAL

Boost Your Workflow: Connect Walla to Discord, Slack, and More with Ease

December 9, 2024

EDITORIAL

500 Global Founders Retreat

November 29, 2024

EDITORIAL

Boost Customer Loyalty: How Regular Surveys Drive Better Service and Stronger Brands

December 27, 2024

EDITORIAL

Elevate Your Brand: How Surveys Fuel Awareness and Positive Perception

December 18, 2024

EDITORIAL

Building User-Centric Products: How to Leverage Surveys for Effective Market Insights

December 11, 2024

EDITORIAL

Customer Feedback Management: How South Korea’s Top Brands Drive Growth Through CFM

December 6, 2024

EDITORIAL

Elevating Brand Experience: Why BX Management Defines Market Success

November 27, 2024

EDITORIAL

Crafting High-Impact Customer Surveys: A Roadmap to Better CX

November 20, 2024

EDITORIAL

Beyond Service: How CXM Drives Growth and Competitive Advantage

November 15, 2024

EDITORIAL

Building Strong Starts: Using Feedback to Elevate Employee Onboarding

November 13, 2024

EDITORIAL

Empower Your People: Modern HR & EX Management and the Role of Feedback Tools

November 8, 2024

EDITORIAL

Free but Powerful: The #1 Online Form Builder

November 5, 2024

EDITORIAL

From MP3 Players to Grapefruit Honey Tea: Brands That Thrived With Online Surveys

October 25, 2024

EDITORIAL

From Custom Design to AI Analysis: How Walla Beats Google Forms 120%

October 13, 2024

EDITORIAL

Is Google Forms Enough? Key Drawbacks You Shouldn’t Overlook

October 9, 2024

EDITORIAL

Reimagining Convenience: Walla’s Ready-to-Use Survey Templates for Your Brand

October 2, 2024

EDITORIAL

Google Forms or Walla? A Comprehensive Feature-by-Feature Look

July 23, 2024

EDITORL

Crafting the Perfect Survey: Key Strategies for High-Quality Data

October 6, 2024

EDITORIAL

Revisiting On-Premise: Navigating Your Options Between SaaS and Traditional Setups

October 18, 2024

GUIDES

Manage Capacity Stress-Free: Quota Settings

July 19, 2024

Editorial

Insights from Location Data

March 12, 2024

Editorial

Paprikan Canada Voyage : Inside and Beyond

February 16, 2024

GUIDES

The Marketer's Ace: Hidden Fields

February 14, 2024

Editorial

To You Who Has Been Staring at Data for 10 Hours

January 23, 2024

Editorial

The Secret to Acquiring 30,000 Users with Minimal Marketing Budget

November 29, 2023

Editorial

Paprikan's Open Hiring Journey

November 28, 2023

Guides

Survey Form Webhook Guidelines

August 31, 2023

Editorial

Starting a Company and Living Together in Canada

June 12, 2023

Guides

Let's Group Data Using the Group By Feature

May 17, 2023

Editorial

The Tiny History of Walla

May 15, 2023

Editorial

Insights from Walla Team's Remarkable 220x Revenue Growth in Just 6 Months

April 28, 2024

Editorial

Insights from a Walla Team Co-founder Shared in a University Lecture

April 5, 2023

Guides

How to Create a One-Page Survey

April 5, 2023

Guides

How to Set Up Notifications for Surveys

April 5, 2023

Editorial

A Letter to Aspiring Entrepreneurs

March 29, 2023

Editorial

Why Walla Became Walla: The Story Behind the Name

March 21, 2023

Guides

The Perfect Way to Collect Location Data

March 15, 2023

Guides

Fully Understand Logic Setting

March 14, 2023

Guides

Exploring Walla Team's Philosophy Behind Pricing

March 14, 2023

GUIDES

Analyzing Response Sheet Data with GPT

March 8, 2023

Guides

The Most Efficient Way to Use Google Forms

March 8, 2023

Guides

Hidden Fields: How to Stop Hiding and Start Using

March 8, 2023

Editorial

Hello, It's Team Walla

March 10, 2023

Editorial

Why is it called Paprika Data Lab?

March 10, 2023