Webdatarocks json

19.03.2021 Comments

Also, here is the form where you can apply for a special discount and we will contact you with possible options. Stay safe and continue achieving your business goals. Flexmonster has an additional licenseKey parameter that contains your license or trial key. The other new parameter in the init API call is the componentFolder.

In WebDataRocks, we specified recuperi subito o dopo, serie a valuta il calendario hierarchies to put into the rows, columns, and measures by defining a Slice Object.

The structure of the slice in Flexmonster is no different, except that measures should be placed in square brackets:. Flexmonster allows you to connect to many more types of data sources. To learn how to connect to these sources, refer to the following guides:. To find out more about integrating Flexmonster Pivot with Angular, check out the Integration with Angular guide.

Table of contents. Migrating from WebDataRocks to Flexmonster. This guide will walk you through the process of transitioning from WebDataRocks to Flexmonster. Setting a slice In WebDataRocks, we specified which hierarchies to put into the rows, columns, and measures by defining a Slice Object. Build and run your application from the console: ng serve The default port that the application listens to is Are you staying home?

How to apply filtering feature in Flexmonster Pivot Table component

We are too. Still, we continue working on our product to support you with a free solution.

Data sources

We hope it comes in handy for your business especially these days. Pivot table control is free for everyone. It means you are able to start a new reporting project or data analytics startup with no risk.

It opens up new opportunities for turning your ideas into a reality. With a few lines of code, you are ready to start analyzing data on your website.

Yes, it's that simple! In less than five minutes you will get all off-the-shelf reporting features running. No developer is needed to start creating reports. You will get a full set of pivot table analytics capacities wrapped up in a modern and adaptive design. Features like filtering, sorting, grouping, conditional and number formatting, calculated values, totals are available for efficient work with your data.

The tool offers a classy spreadsheet-like interface optimized both for browser and apps. You will not have to spend time and money on its completion. All principles of reliability and excellent user experience are already implemented in this web reporting tool. The power of fast online data visualization in a few minutes after integration.

Yes, it's possible! Free Pivot table control is free for everyone. Download for free. Easy to integrate With a few lines of code, you are ready to start analyzing data on your website. Read quick start. Full set of enterprise features You will get a full set of pivot table analytics capacities wrapped up in a modern and adaptive design. See live demo. Ready-to-use modern UI The tool offers a classy spreadsheet-like interface optimized both for browser and apps.

webdatarocks json

Analyze data instantly The power of fast online data visualization in a few minutes after integration. Learn more in our blog.Alternatively, you can also save the chart data in a. The only difference between the two methods is the value that is passed to the dataFormat attribute. For the first method, the dataFormat attribute takes json or xml as values, depending on the chart data.

For the second method, the values will be jsonurl and xmlurl. Let's build the same revenue chart which we built in the first example using JSON, and use a. Copy this into a file, name it oilReserves. Included the necessary libraries and components using import. For example, fusioncharts library, etc.

When rendering your charts locally without a web server, even if on the localhostyou will not be able to load data from XML or JSON files present on your hard-drive. This is due to security restrictions enforced by most modern browsers. Copy this into a file called oilReserves. FusionCharts University. Choose an item. This article explains how you can set the chart data using the URL of the corresponding file. FusionCharts will load here.

webdatarocks json

Hi, I am Dishank. I wrote this article. Yes, it was helpful. No, it needs improvement.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.

If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again. WebDataRocks is a free JavaScript library for web reporting and data visualization. It is designed with simplicity of integration in mind.

Its purpose is to show how to add an interactive dashboard with a pivot table and charts to your Angular application with minimum efforts and time. Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Sign up. TypeScript Branch: master.

Find file. Sign in Sign up. Go back. Launching Xcode If nothing happens, download Xcode and try again. Latest commit. Latest commit ca Feb 14, Documentation Please refer to our tutorials to find out more details about the integration process: Integration with Angular 4 Integration with Highcharts Advanced options WebDataRocks: how to change report themes Highcharts: how to set options to charts Live demo To get a real feel of WebDataRocks in combination with Highcharts, you can play with the dashboard on CodeSandBox:.

You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Initial commit. Feb 14, Are you staying home? We are too. Still, we continue working on our product to support you with a free solution. We hope it comes in handy for your business especially these days.

Good news, our JavaScript pivot grid is free and available to everyone. All you need is to download and install it into your project. I have decided to come up with the new portion of useful tips. In the previous postI shared the insights on how to prepare data from Excel and connect it to our demo.

JSON is the most common format when it comes to data analysis. It is readable for users and understandable for machines at the same time. Your file with data should have a. Other formats such as a newline-delimited JSON are not supported.

Now, when you know which data structure is necessary for WebDataRocks, it is time to check your data. Go ahead and try one of the JSON visualizers which are extremely useful during the process of preparing data. Here are the main hints on how to use such a tool:. The next step is to connect your JSON data and then start the analysis process. Now you can see your own data on the grid!

Please keep in mind that we do not store any part of your data on our side. In the next post, I will cover the features you can use while working with our demo. See you soon! Check the structure of your data Now, when you know which data structure is necessary for WebDataRocks, it is time to check your data. I hope you have enjoyed reading this post.Also, here is the form where you can apply for a special discount and we will contact you with possible options. Stay safe and continue achieving your business goals.

How to prepare JSON data and connect it to WebDataRocks demo

Since 2. For example, you can add the following first object in a JSON array and see how it changes the report:. Try it on JSFiddle. Note: if you use a JSON array of arrays you can also add the first object. In this case you do not need to specify hierarchies in the first sub-array.

webdatarocks json

Check out live example. The type of these fields will be selected automatically. In the following example "Color" was left undefined:.

Note that in the Field List only two fields will be available: "Color" and "Price". All other fields "Country""City" etc. To make date fields be interpreted as a date, you must define the data type as a date. Additionally, data from these fields should have a special date format to be understood properly. The pivot table component supports the ISO date format, for example: "" just date or "T" date and time. Table of contents.

webdatarocks json

Data types in JSON. Alternatively, the first object of the input JSON array can be used for these needs. Here is the list of its supported properties: type — String. The data type. Can be: "string" — the field contains string data. You will be able to aggregate it only with count and distinct count aggregations.

It will be sorted as string data. You will be able to aggregate it with all available aggregations. It will be sorted as numeric data. This type is used together with other properties such as hierarchylevel and parent. Such fields will be split into 3 different fields: Year, Month, Day. Such fields will be formatted using "HH:mm:ss" pattern.Are you staying home? We are too. Still, we continue working on our product to support you with a free solution.

We hope it comes in handy for your business especially these days. After learning how to connect to a local or remote JSON data sourcethe next step is to configure its structure for successful data manipulation and building a report. If the type of the data is not defined explicitly, the component determines the type of a field based on the first value of that field. Though the pivot table tries to guess the type correctly, if null is the first value, the results of data processing may be unpredictable.

Setting types is a good practice before loading the data into the pivot table. The full example is on CodePen. Rely on WebDataRocks — it will automatically pick up a data type for such fields. See the example about undefined types of fields. The input values of dates have to be compliant with ISO — The International Standard for the representation of dates and time. Table of contents. Data types in JSON. It is recommended to define the first object in a JSON array which serves for: setting data types for specific fields to ensure the correct interpretation of the data; creating of multi-level hierarchies; defining captions of the hierarchies.

Available aggregations: Count and Distinct Count. The values of such a field type will be sorted alphabetically. It is possible to apply any available aggregation function to this type of field. The values of such a field type will be sorted numerically. Use it along with hierarchyleveland parent properties. See the example. This field type sorts months in natural sorting order, not alphabetically. Natural sorting order for days will be applied then: from Sunday to Monday.

It is applied to all dates by default. The dates are divided into 3 separate subfields: Year, Month, Day.