The data was collected with great effort. Now, I hope the analysis won't be difficult.

NGNL is a web-based data analysis platform that helps anyone easily organize, visualize, and analyze data that was collected with difficulty.

There is more data now, but analysis is still difficult.

These days, most teams and companies have become accustomed to creating, storing, and exporting data.
Excel files, CSVs, customer data, sales records, survey results, even work logs. Data keeps piling up.

However, when it comes time to actually analyze that data, the story changes.

"What kind of graph should I create?"

"What should I look for in this data?"

"How do I perform statistical analysis?"

"Even when I get results, I don't know what they mean."

It was difficult to obtain the data. Shouldn't the analysis at least be a bit easier?

The reason we created NGNL

Data analysis is still difficult for many people.

To organize data, you need to know Excel; for more complex analysis, you have to learn Python or R; and to interpret statistical or machine learning results, you need even more knowledge.

The problem is that the people who need analysis are not always data experts.

Small business owners, students, researchers, planners, educators, and practitioners in small teams all face moments when they need to review and make decisions based on their own data.

NGNLstarted for people like this.
We aimed to create a flow where even those unfamiliar with analysis tools, or without preparing a complex development environment, can directly upload their data, organize it, view it as graphs, and understand the analysis results.

What is NGNL?

NGNL is a data analysis platform used on the web.

When you upload data such as CSV or Excel files, you can view the data in table format, perform necessary preprocessing, generate graphs and statistical analyses, and better understand the results.

It is not just a tool for creating graphs, but aims to connect the process of organizing data into an analyzable form and interpreting the results.

You can check your data immediately after uploading it.

When you upload a file, you can instantly view the data in table format.
You can examine the data in a familiar interface like Excel, and check column names, values, missing data, and data structure.

Create graphs and identify patterns in the data.

You can visualize multiple variables together, such as Revenue, ConversionRate, and Orders, to check the relationships and trends in the data.
You can quickly explore patterns that are difficult to see with simple tables by using graphs.

Beyond graphs, we help you understand the results.

Many analysis tools stop at showing the results.
NGNL aims to provide a flow that suggests result summaries, key indicators, cautions, and next analysis directions together.

Organize analysis results into a report.

You can collect selected graphs and analysis results to create a draft report.
You can export in Markdown or HTML format to share with your team or keep as a record.

We recommend NGNL for these people.

NGNL is being developed for those who are not data experts but need to make decisions based on data.

The reason for presenting on Wadiz

NGNL is a project that still has many areas for improvement.
Therefore, rather than unilaterally releasing it as a finished official service, we wanted to improve it together by receiving feedback from those who actually handle data.
Through Wadiz Funding, we plan to first unveil it to our initial supporters and check together which features are truly needed, which parts are difficult, and which analysis flows are more convenient.
Your feedback will greatly help NGNL develop into a more practical data analysis tool.

Reward Composition

NGNL will first introduce its service to initial supporters through Wadiz.
This Funding Reward is designed so you can directly use the NGNL web service and experience both the data analysis AI assistant and report features.

NGNL Pro 50-Day Pass

27,500 KRW

This is an exclusive Reward for initial supporters, allowing you to use NGNL Pro features for 50 days at the monthly Pro pass price.

An additional 20 days are provided on top of the basic 30-day usage period, allowing you to use the NGNL web service and data analysis AI assistant for a total of 50 days.

The provided features are as follows.

CSV, XLSX, JSON data upload
Data preview and table view
Graph generation
Statistical analysis
Report generation
Data analysis AI assistant feature

Recommended for those who want to try NGNL for the first time or lightly experience a data analysis web service.

NGNL Pro 90-Day Pass

59,900 KRW

This is a 90-day pass that allows you to use NGNL Pro features more generously.

This Reward is offered at a discounted price compared to the regular monthly Pro rate for three months, and is suitable for those who want to use NGNL a bit longer for data analysis tasks or projects.

The provided features are as follows.

CSV, XLSX, JSON data upload
Data preview and table view
Graph generation
Statistical analysis
Report generation
Data analysis AI assistant feature
Priority access to initial update features

Recommended for those who have data to analyze repeatedly, such as survey data, sales data, customer data, or research/study data.

Reward delivery method

The NGNL Reward is a web service pass, not a physical delivery product.

After Funding ends and payment is completed, a service access link and usage code will be sent to the email registered in the Supporter information.
The usage period starts from the date the usage code is sent.

50-day pass: 50 days from the date the usage code is sent.
90-day pass: 90 days from the date the usage code is sent.

※ The data analysis AI assistant feature may have usage limits applied for stable operation.
※ Some features may be improved and updated during the beta period.
※ Information on the service schedule and usage will be provided via Wadiz Updates and email after the Funding ends.

Funding Usage Plan

The Funding will be used for the stable development and operation of NGNL.

Schedule

Funding Open: Based on the opening date
Funding Period: Approximately 3 weeks
Funding Close: About 3 weeks after the opening date
Supporter Payment Confirmation: After Funding ends
Service Usage Guide Sent: Sequentially sent after payment confirmation
NGNL Pass Provided: Service access link and usage code sent via email
Initial Feedback Collection: Conducted after providing the pass
Feature Improvements and Updates: Sequentially applied based on supporter feedback

NGNL is a web-based service and is not a physical delivery product.
Rewards are provided in the form of a service access link and usage code via the email registered in the supporter information.

The usage period starts from the date the usage code is sent.

NGNL Pro 50-Day Pass: 50 days from the code sending date
NGNL Pro 90-Day Pass: 90 days from the code sending date

The service schedule may be adjusted depending on development status and stability checks. If there are any changes, we will inform you through Wadiz Updates and email.

Maker Introduction

Hello. I am the maker of NGNL.

I have studied big data and AI, and have carried out projects in data analysis, machine learning, and statistical analysis.
What I realized while handling various data is that collecting data is difficult, but the process of actually analyzing and understanding that data often feels even more challenging.

There are many people who need analysis, but not everyone is familiar with Python or R, statistical knowledge, or complex analysis tools.
There are moments when students, non-majors, small teams, and practitioners need to directly check and assess their own data.

NGNL started from this awareness of the problem.

We wanted to connect the process of uploading data, checking it in tables, viewing it as graphs, understanding the analysis results, and organizing them into reports into a single flow.

Rather than being a completed service, this is a project that needs to be developed in a better direction based on feedback from early supporters.
Through this Wadiz Funding, we will introduce NGNL first and improve it into an easier and more practical data analysis platform based on actual user feedback.

FAQ / Important Notes

Q. Does NGNL require installation?

No. NGNL will be provided as a web-based service.
We are preparing it so that you can access and use it through your browser without installing a separate development environment or program.

Q. What files can be used?

We plan to support uploading CSV, XLSX, and JSON files.
Supported file formats and detailed features may be improved during the beta period based on stability checks and user feedback.

Q. How are Rewards provided?

NGNL Rewards are not physical delivery items, but web service access passes.
After Funding ends and payment is completed, we will send the service access link and usage code to the email registered in the supporter information.

Q. When does the usage period start?

The usage period starts from the day the service access link and usage code are sent.

50-day pass: 50 days from the code delivery date.
90-day pass: 90 days from the code delivery date.

Q. Can the data analysis AI Assistant be used without limits?

The AI Assistant feature may have usage limits applied to ensure stable operation.
Specific usage scope and limitation criteria will be provided when the service is launched.

Q. Is the uploaded data safe?

NGNL prioritizes security and stability improvements to handle users' data safely.
However, during the beta period, uploading important personal information, sensitive data, or confidential materials is not recommended.
The data processing method and storage/deletion policy will be announced together when the service is provided.

Q. What is the difference between the official service and the beta service?

This Reward is an early access pass for initial supporters.
Some features may be under improvement during the beta period, and UI, analysis functions, result explanations, and report features will be updated sequentially based on user feedback.

Q. Can non-experts use it?

Yes. NGNL aims to help even those new to data analysis easily check and understand their own data.
We are preparing the service so that users can check tables, generate graphs, summarize results, and organize reports in a single workflow.

Q. Can the service schedule change?

The schedule may be adjusted depending on service stability checks or feature improvements.
If there are any changes, we will inform you through Wadiz updates and email.

Cancellation and refund information.

NGNL Rewards are web service passes, not physical delivery products.
After Funding is completed and payment is confirmed, a service access link and usage code will be sent to the email registered in the Supporter information.

Cancel Payment

Payment can be canceled before the Reward is shipped, in accordance with Wadiz policy.
If you wish to cancel during Funding or before the Reward is shipped, please proceed with the cancellation in your Wadiz participation history.

Refund after Reward is provided

Once the service access link and usage code have been sent, the Reward is considered provided.
Refunds due to a simple change of mind may be restricted.

However, in the following cases, we will guide you through a refund or alternative provision after verification.

If the service usage code is not provided due to reasons attributable to the Maker
If the Reward is delayed even after the announced delivery schedule
If the delivered usage code does not function properly
If a reason confirmed by the Maker prevents service provision

Usage Period

The usage period begins on the day the service access link and usage code are sent.

NGNL Pro Early Bird 50-Day Pass: 50 days from the code delivery date.
NGNL Pro 90-Day Pass: 90 days from the code delivery date.

Notice

The data analysis AI assistant feature may have usage limits applied for stable operation.
Some features may be improved and updated during the beta period.
Uploading important personal information, sensitive data, or corporate confidential materials is not recommended.

Cancellations and refunds are processed based on Wadiz's Funding/Reward refund policy.