Tutorial

Now let's start the Figplot tutorial.

Register an account

Figplot has some public content that can be viewed without logging in, but creating your own figplot requires you to register or log in.

Click Login button on the homepage to enter the login page. If you are using it for the first time, select Sign Up below to enter the registration page.

The registration and login methods are similar. There are currently two options:

1. You can register or login via email. Enter your email address and click Sign In with Email. You will receive an email with a registration/login link. Click the link to complete the registration/login.
2. You can also register or login through a third party. Currently, Google is available. Click the Google button and follow the instructions on the page to complete the registration/login.

Enter the Dashboard

After login, you can enter the Dashboard page through the Dashboard button.

Because you haven't created any figplots yet, you see an empty page and are prompted to create one.

Create a figplot

To create a figplot, you need to specify a name and write a description, which is optional. Then select the license. Finally, select whether to make the figplot public and share it with others.

Process data

Once the figplot created, you are taken to the Summary page of the newly created figplot, which prompts you to upload some data so that you can draw the chart.

You can load the data by importing it.

Click the Import button to import data from other sources:

• Import data from local. Supports importing data in CSV/XLS format from local files. CSV format is a text file with multiple lines of data that usually uses commas to separate column values. XLS format is the file format used by Microsoft Excel. They are both common formats for representing tabular data.
• Import data from URL. Get and import data from an HTTP address. The content obtained from this address can be in CSV and JSON formats.

The above CSV format should have a column name row in the header. The JSON format should follow the following format: [ { "column name": "value", ... }, ... ], the value can be integers, floating point numbers, booleans, strings, or the null value.

After importing, you can view the data in the Datasets tab, and you can also download the data in CSV format.

Draw charts

Next, you can create charts using the datasets.

On the Charts tab, first select the layout you need on the right, that is, place how many charts on the left and how they are arranged.

Then, in each chart placeholder on the left, click Plot a chart button to open the chart drawing panel, and select the type of chart, the dataset used, and other information. After clicking Plot to save, you can see the dynamic chart.

Now go back to the Summary tab and you can see the chart you just created and the related description information.

You can download the chart in png format.

Personal figplot management and Sharing

Back to the Dashboard page, you can see a list of your personal figplots. Notice the figplots with a lock icon, which are private to you.

If you choose to make your figplots public, you can see them on the Sharing page, where figplots are publicly visible.

Manage your account

Finally, you can manage your account under User section. This includes changing your account information on the Settings page and upgrading to a PRO plan on the Billing page.

Figplot needs to use the resources of the cloud platform, which requires a certain cost, so if you are a heavy user, you can upgrade to the PRO plan. Currently, free use will have ads and certain usage restrictions, you can see the information on the Billing page for details.

OK, our tutorial has ended. Wish you a pleasant experience. If you have any questions, please contact us via the email address at the bottom of the page. All feedback is welcome.