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Calculated values

The main idea of the calculated values lies in giving a more complete picture of your data by measuring your data in a custom way.

To create a calculated value, define an expression on which the values are calculated and apply it to your data. It serves as a new aggregation function that you can change or delete at any moment.

Moreover, multiple calculated values can be created within one report.

To add a calculated value

• Go to the Fields tab () on the Toolbar.
• Click the Add calculated value button.
• Type in the name of a formula in the input field.
• Choose the fields to include in the formula, the aggregation functions to apply to these fields, and add the necessary operators.
• Apply the changes.

NOTE: the Count and Unique Count functions can be applied only to the string fields.

Example

Let’s define a new Revenue measure. It is composed of Price and Quantity fields (Price * Quantity).

• Type in a name of a new calculated value.
• Drag the fields to the Formula area and add a multiplication operator to compose a product of two values.
• Apply the changes. Now the new calculated value is placed at the bottom of the list. Drop it to the Values area to add it to the report.

All calculated values are saved in the measures of the report’s slice.

To edit a calculated value

• Go to the Fields tab () on the Toolbar.
• Find the calculated value in the All fields box.
• Click the Sigma editing button () next to the value’s name.
• Edit the calculated value.
• Apply the changes.

To remove a calculated value

• Go to the Fields tab () on the Toolbar.
• Find the calculated value in the All fields box.
• Click the Sigma editing button () next to the value’s name.
• Click the Remove button (✕).
• Confirm the action.

Individual values

Note that there is the Calculate individual values checkbox. If it is checked, the formula is calculated based on the raw values. Otherwise, it is calculated using the aggregated values.

Find out the difference between the calculated and calculated individual values in the demo.

We hope your time using WebDataRocks Pivot Table has been productive and satisfying. WebDataRocks provides all the basic features for data visualization and analysis, such as connecting to JSON or CSV data sources and essential data aggregation functions.

In case you want to have more features, be it advanced customization or more data source options, we recommend looking at Flexmonster Pivot Table & Charts — a commercial advanced component developed by the same team.

Flexmonster has all of the WebDataRocks features and more, so you have nothing to lose by migrating to it. In addition, the number of changes required to move from WebDataRocks is minimal.

Continue with this page to discover all the Flexmonster features your project can benefit from👇

No data size limit

WebDataRocks works with JSON and CSV datasets no larger than 1 MB, which should satisfy the majority of use cases.

Flexmonster doesn’t set limits on the dataset’s size, so the maximum size depends only on the browser’s capabilities. Moreover, Flexmonster can connect to server-side data storage and load only the necessary data subsets into the browser, allowing you to work with much larger datasets.

More data source options

In addition to having no strict limit on the data size, Flexmonster offers a wider selection of data sources.

The following data sources are supported out of the box:

• JSON
• CSV
• Microsoft Analyses Services
• SQL databases
• Elasticsearch
• MongoDB

You can also connect Flexmonster Pivot to any data source using the custom data source API — Flexmonster’s communication protocol that helps you build a custom data source using your server.

See the full list of the data sources supported by Flexmonster.

Built-in pivot charts

Flexmonster offers one more exclusive feature — built-in pivot charts. This allows you to visualize data using the charts out of the box without integrating with third-party charting libraries.

Check out the video that shows how to work with Flexmonster Pivot Charts:

Advanced customer support

Another important aspect of Flexmonster is Rockstar Support — a team of technical specialists who are always ready to answer your questions or help you resolve issues. You can also check out the collection of resolved support tickets to find a solution for your case.

Other benefits

In addition to everything listed, Flexmonster provides other benefits:

• More options for integration with frameworks
• Accessibility support
• In-depth documentation

Where do I start with Flexmonster?

Flexmonster offers a 30-day free trial requiring no payment details, so you can test Flexmonster’s functionality and decide whether it fits your project. Moreover, you can get a special discount as a WebDataRocks user if you decide to buy the product license. 

To smoothly move from WebDataRocks to Flexmonster, check out our migration guide.

If you want to see Flexmonster in action, watch this video for a detailed overview of Flexmonster Pivot and then try out the live demo:

The main idea of the calculated values lies in giving a more complete picture of your data by measuring your data in a custom way.

To create a calculated value, define an expression on which the values are calculated and apply it to your data. It serves as a new aggregation function that you can change or delete at any moment.

Moreover, multiple calculated values can be created within one report.

To add a calculated value

• Go to the Fields tab () on the Toolbar.
• Click the Add calculated value button.
• Type in the name of a formula in the input field.
• Choose the fields to include in the formula, the aggregation functions to apply to these fields, and add the necessary operators.
• Apply the changes.

NOTE: the Count and Unique Count functions can be applied only to the string fields.

Example

Let’s define a new Revenue measure. It is composed of Price and Quantity fields (Price * Quantity).

• Type in a name of a new calculated value.
• Drag the fields to the Formula area and add a multiplication operator to compose a product of two values.
• Apply the changes. Now the new calculated value is placed at the bottom of the list. Drop it to the Values area to add it to the report.

All calculated values are saved in the measures of the report’s slice.

To edit a calculated value

• Go to the Fields tab () on the Toolbar.
• Find the calculated value in the All fields box.
• Click the Sigma editing button () next to the value’s name.
• Edit the calculated value.
• Apply the changes.

To remove a calculated value

• Go to the Fields tab () on the Toolbar.
• Find the calculated value in the All fields box.
• Click the Sigma editing button () next to the value’s name.
• Click the Remove button (✕).
• Confirm the action.

Individual values

Note that there is the Calculate individual values checkbox. If it is checked, the formula is calculated based on the raw values. Otherwise, it is calculated using the aggregated values.

Find out the difference between the calculated and calculated individual values in the demo.

We hope your time using WebDataRocks Pivot Table has been productive and satisfying. WebDataRocks provides all the basic features for data visualization and analysis, such as connecting to JSON or CSV data sources and essential data aggregation functions.

In case you want to have more features, be it advanced customization or more data source options, we recommend looking at Flexmonster Pivot Table & Charts — a commercial advanced component developed by the same team.

Flexmonster has all of the WebDataRocks features and more, so you have nothing to lose by migrating to it. In addition, the number of changes required to move from WebDataRocks is minimal.

Continue with this page to discover all the Flexmonster features your project can benefit from👇

No data size limit

WebDataRocks works with JSON and CSV datasets no larger than 1 MB, which should satisfy the majority of use cases.

Flexmonster doesn’t set limits on the dataset’s size, so the maximum size depends only on the browser’s capabilities. Moreover, Flexmonster can connect to server-side data storage and load only the necessary data subsets into the browser, allowing you to work with much larger datasets.

More data source options

In addition to having no strict limit on the data size, Flexmonster offers a wider selection of data sources.

The following data sources are supported out of the box:

• JSON
• CSV
• Microsoft Analyses Services
• SQL databases
• Elasticsearch
• MongoDB

You can also connect Flexmonster Pivot to any data source using the custom data source API — Flexmonster’s communication protocol that helps you build a custom data source using your server.

See the full list of the data sources supported by Flexmonster.

Built-in pivot charts

Flexmonster offers one more exclusive feature — built-in pivot charts. This allows you to visualize data using the charts out of the box without integrating with third-party charting libraries.

Check out the video that shows how to work with Flexmonster Pivot Charts:

Advanced customer support

Another important aspect of Flexmonster is Rockstar Support — a team of technical specialists who are always ready to answer your questions or help you resolve issues. You can also check out the collection of resolved support tickets to find a solution for your case.

Other benefits

In addition to everything listed, Flexmonster provides other benefits:

• More options for integration with frameworks
• Accessibility support
• In-depth documentation

Where do I start with Flexmonster?

Flexmonster offers a 30-day free trial requiring no payment details, so you can test Flexmonster’s functionality and decide whether it fits your project. Moreover, you can get a special discount as a WebDataRocks user if you decide to buy the product license. 

To smoothly move from WebDataRocks to Flexmonster, check out our migration guide.

If you want to see Flexmonster in action, watch this video for a detailed overview of Flexmonster Pivot and then try out the live demo:

In this guide, you can learn how to format your JSON data so WebDataRocks can process it.

JSON formats

WebDataRocks supports two JSON formats:

1) Array of objects. Each object is an unordered collection of key-value pairs, where the key is a field name and the value is a field member. Example:

[
  {
    "Product": "Apple",
    "Price": 2.50
  },
  {
    "Product": "Cherry",
    "Price": 5.25
  }
]

2) Array of arrays. The first subarray contains field names, while the other subarrays contain the respective field members. The field’s name and members must have the same position in the subarrays. Example:

[
  ["Product", "Price"],
  ["Apple", 2.50],
  ["Cherry", 5.25]
]

Regardless of what JSON format you choose, the first element of each array can be the metadata object for JSON. This object is used to set data types and create multilevel hierarchies.

Input value formats

Number field format

Number values can contain digits, -, and + characters. Point . must be used as a decimal separator. Numbers in exponential notation are also supported. Examples of valid values: -20, 2.50, 1.0E+2.

String field format

String values must be enclosed in double quotation marks. Special characters, such as line breaks or double quotation marks, must be escaped using the backslash. Examples of valid values: "Apple", "\"A-Z\" section".

Date field format

Date fields must be defined in one of the following formats:

• ISO 8601. Examples: "2018-01-10" (date), "2018-01-10T08:14:00" (date and time), "2018-01-10T06:14:00Z" (date and time in UTC).
• Unix timestamps in milliseconds. Examples: 1515535200000 (timestamp of the "2018-01-10" date), 1515564860000 (timestamp of the "2018-01-10 08:14:20" date and time).
  Note. By default, Unix timestamps are interpreted in WebDataRocks as numbers. To use them as dates, explicitly set the type property in the metadata object to the needed date type.
• JavaScript Date objects. Can be used only with inline JSON data. Examples: new Date(2018, 0, 10) (creates the "2018-01-10" date), new Date("January 10, 2018 08:14:20") (creates "2018-01-10 08:14:20" date and time).
  Note. In the array of arrays, JavaScript Date objects are interpreted in WebDataRocks as strings. To use them as dates, explicitly set the type property in the metadata object to the needed date type.

Time field format

Time values must be specified as a number of seconds. The component displays values in the "HH:mm:ss" format. Example: 5400 (displayed as "01:30:00").

To ensure the detection of time values, set the field type to "time" in the metadata object. Otherwise, they will be processed as numbers.

Month field format

Month values must start with a capital letter. Full names and 3-letter abbreviations of months are supported. Examples: "October", "Dec", "May".

To ensure the detection of month values, set the field type to "month" in the metadata object. Otherwise, they will be processed as strings.

Weekday field format

Weekday values must start with a capital letter. Full names and 3-letter abbreviations of the days of the week are supported. Examples: "Monday", "Sun", "Friday".

To ensure the detection of weekday values, set the field type to "weekday" in the metadata object. Otherwise, they will be processed as strings.

See also

• Setting data types
• Connecting to JSON
• Creating multilevel hierarchies
• Metadata object for JSON

In this guide, you can learn how to format your JSON data so WebDataRocks can process it.

JSON formats

WebDataRocks supports two JSON formats:

1) Array of objects. Each object is an unordered collection of key-value pairs, where the key is a field name and the value is a field member. Example:

[
  {
    "Product": "Apple",
    "Price": 2.50
  },
  {
    "Product": "Cherry",
    "Price": 5.25
  }
]

2) Array of arrays. The first subarray contains field names, while the other subarrays contain the respective field members. The field’s name and members must have the same position in the subarrays. Example:

[
  ["Product", "Price"],
  ["Apple", 2.50],
  ["Cherry", 5.25]
]

Regardless of what JSON format you choose, the first element of each array can be the metadata object for JSON. This object is used to set data types and create multilevel hierarchies.

Input value formats

Number field format

Number values can contain digits, -, and + characters. Point . must be used as a decimal separator. Numbers in exponential notation are also supported. Examples of valid values: -20, 2.50, 1.0E+2.

String field format

String values must be enclosed in double quotation marks. Special characters, such as line breaks or double quotation marks, must be escaped using the backslash. Examples of valid values: "Apple", "\"A-Z\" section".

Date field format

Date fields must be defined in one of the following formats:

• ISO 8601. Examples: "2018-01-10" (date), "2018-01-10T08:14:00" (date and time), "2018-01-10T06:14:00Z" (date and time in UTC).
• Unix timestamps in milliseconds. Examples: 1515535200000 (timestamp of the "2018-01-10" date), 1515564860000 (timestamp of the "2018-01-10 08:14:20" date and time).
  Note. By default, Unix timestamps are interpreted in WebDataRocks as numbers. To use them as dates, explicitly set the type property in the metadata object to the needed date type.
• JavaScript Date objects. Can be used only with inline JSON data. Examples: new Date(2018, 0, 10) (creates the "2018-01-10" date), new Date("January 10, 2018 08:14:20") (creates "2018-01-10 08:14:20" date and time).
  Note. In the array of arrays, JavaScript Date objects are interpreted in WebDataRocks as strings. To use them as dates, explicitly set the type property in the metadata object to the needed date type.

Time field format

Time values must be specified as a number of seconds. The component displays values in the "HH:mm:ss" format. Example: 5400 (displayed as "01:30:00").

To ensure the detection of time values, set the field type to "time" in the metadata object. Otherwise, they will be processed as numbers.

Month field format

Month values must start with a capital letter. Full names and 3-letter abbreviations of months are supported. Examples: "October", "Dec", "May".

To ensure the detection of month values, set the field type to "month" in the metadata object. Otherwise, they will be processed as strings.

Weekday field format

Weekday values must start with a capital letter. Full names and 3-letter abbreviations of the days of the week are supported. Examples: "Monday", "Sun", "Friday".

To ensure the detection of weekday values, set the field type to "weekday" in the metadata object. Otherwise, they will be processed as strings.

See also

• Setting data types
• Connecting to JSON
• Creating multilevel hierarchies
• Metadata object for JSON

In this guide, you can learn how to format your JSON data so WebDataRocks can process it.

JSON formats

WebDataRocks supports two JSON formats:

1) Array of objects. Each object is an unordered collection of key-value pairs, where the key is a field name and the value is a field member. Example:

[
  {
    "Product": "Apple",
    "Price": 2.50
  },
  {
    "Product": "Cherry",
    "Price": 5.25
  }
]

2) Array of arrays. The first subarray contains field names, while the other subarrays contain the respective field members. The field’s name and members must have the same position in the subarrays. Example:

[
  ["Product", "Price"],
  ["Apple", 2.50],
  ["Cherry", 5.25]
]

Regardless of what JSON format you choose, the first element of each array can be the metadata object for JSON. This object is used to set data types and create multilevel hierarchies.

Input value formats

Number field format

Number values can contain digits, -, and + characters. Point . must be used as a decimal separator. Numbers in exponential notation are also supported. Examples of valid values: -20, 2.50, 1.0E+2.

String field format

String values must be enclosed in double quotation marks. Special characters, such as line breaks or double quotation marks, must be escaped using the backslash. Examples of valid values: "Apple", "\"A-Z\" section".

Date field format

Date fields must be defined in one of the following formats:

• ISO 8601. Examples: "2018-01-10" (date), "2018-01-10T08:14:00" (date and time), "2018-01-10T06:14:00Z" (date and time in UTC).
• Unix timestamps in milliseconds. Examples: 1515535200000 (timestamp of the "2018-01-10" date), 1515564860000 (timestamp of the "2018-01-10 08:14:20" date and time).
  Note. By default, Unix timestamps are interpreted in WebDataRocks as numbers. To use them as dates, explicitly set the type property in the metadata object to the needed date type.
• JavaScript Date objects. Can be used only with inline JSON data. Examples: new Date(2018, 0, 10) (creates the "2018-01-10" date), new Date("January 10, 2018 08:14:20") (creates "2018-01-10 08:14:20" date and time).
  Note. In the array of arrays, JavaScript Date objects are interpreted in WebDataRocks as strings. To use them as dates, explicitly set the type property in the metadata object to the needed date type.

Time field format

Time values must be specified as a number of seconds. The component displays values in the "HH:mm:ss" format. Example: 5400 (displayed as "01:30:00").

To ensure the detection of time values, set the field type to "time" in the metadata object. Otherwise, they will be processed as numbers.

Month field format

Month values must start with a capital letter. Full names and 3-letter abbreviations of months are supported. Examples: "October", "Dec", "May".

To ensure the detection of month values, set the field type to "month" in the metadata object. Otherwise, they will be processed as strings.

Weekday field format

Weekday values must start with a capital letter. Full names and 3-letter abbreviations of the days of the week are supported. Examples: "Monday", "Sun", "Friday".

To ensure the detection of weekday values, set the field type to "weekday" in the metadata object. Otherwise, they will be processed as strings.

See also

• Setting data types
• Connecting to JSON
• Creating multilevel hierarchies
• Metadata object for JSON

What is WebDataRocks

WebDataRocks is a free web reporting tool for data analysis and visualization.

It is written in JavaScript and is not constrained by any external framework. This simple but enterprise-featured web-based pivot grid can be added to your website, application, or project web page within minutes.

What does it offer

WebDataRocks easily displays your CSV or JSON data in an interactive pivot table, offers a number of data analysis features, and provides a reporting experience. You get real-time reporting of your data on any device you prefer (PC, tablet, mobile, etc.)

Who can use WebDataRocks

Our reporting tool would be a perfect fit if you:

• Want to analyze data quickly.
• Are looking for an online reporting tool.
• Need a lightweight web pivot table.
• Don’t know how to code or don’t want to.

Why is it cool

• WebDataRocks easily embeds in your web page not requiring much programming skills.
• You can save your time and expenses on integration as it’s already configured and ready to use.
• Our tool has enterprise features for a real business, despite being costless.
• It’s a powerful analytic tool with a well-designed ready-to-use modern UI.

The main benefit is that WebDataRocks is an absolutely free tool created by passionate data lovers from Flexmonster.

How can I get WebDataRocks and add it to my project

To make it simple for you we’ve prepared an integration tutorial that provides you with easy instructions on how to download WebDataRocks and add it to your website or application.

How can I use more advanced options

For those of our users who want to further explore WebDataRocks functionality, we prepared guides on the following topics:

• Custom report themes
• Localization
• Integration with frameworks
• Integration with charting libraries (amCharts, Highcharts, Google Charts, and FusionCharts)
• List of API methods and objects

Some thoughts from creators

We truly hope that you will enjoy all this experience with WebDataRocks. It’s created to help solve data analysis needs for different kinds of projects: start-ups, nonprofit, or commercial. So, if it will work for you, please share your success with others. Let data rock this world!

License

By downloading, installing, and/or using WebDataRocks, you agree with the terms of WebDataRocks End User License Agreement.

What is WebDataRocks

WebDataRocks is a free web reporting tool for data analysis and visualization.

It is written in JavaScript and is not constrained by any external framework. This simple but enterprise-featured web-based pivot grid can be added to your website, application, or project web page within minutes.

What does it offer

WebDataRocks easily displays your CSV or JSON data in an interactive pivot table, offers a number of data analysis features, and provides a reporting experience. You get real-time reporting of your data on any device you prefer (PC, tablet, mobile, etc.)

Who can use WebDataRocks

Our reporting tool would be a perfect fit if you:

• Want to analyze data quickly.
• Are looking for an online reporting tool.
• Need a lightweight web pivot table.
• Don’t know how to code or don’t want to.

Why is it cool

• WebDataRocks easily embeds in your web page not requiring much programming skills.
• You can save your time and expenses on integration as it’s already configured and ready to use.
• Our tool has enterprise features for a real business, despite being costless.
• It’s a powerful analytic tool with a well-designed ready-to-use modern UI.

The main benefit is that WebDataRocks is an absolutely free tool created by passionate data lovers from Flexmonster.

How can I get WebDataRocks and add it to my project

To make it simple for you we’ve prepared an integration tutorial that provides you with easy instructions on how to download WebDataRocks and add it to your website or application.

How can I use more advanced options

For those of our users who want to further explore WebDataRocks functionality, we prepared guides on the following topics:

• Custom report themes
• Localization
• Integration with frameworks
• Integration with charting libraries (amCharts, Highcharts, Google Charts, and FusionCharts)
• List of API methods and objects

Some thoughts from creators

We truly hope that you will enjoy all this experience with WebDataRocks. It’s created to help solve data analysis needs for different kinds of projects: start-ups, nonprofit, or commercial. So, if it will work for you, please share your success with others. Let data rock this world!

License

By downloading, installing, and/or using WebDataRocks, you agree with the terms of WebDataRocks End User License Agreement.

What is WebDataRocks

WebDataRocks is a free web reporting tool for data analysis and visualization.

It is written in JavaScript and is not constrained by any external framework. This simple but enterprise-featured web-based pivot grid can be added to your website, application, or project web page within minutes.

What does it offer

WebDataRocks easily displays your CSV or JSON data in an interactive pivot table, offers a number of data analysis features, and provides a reporting experience. You get real-time reporting of your data on any device you prefer (PC, tablet, mobile, etc.)

Who can use WebDataRocks

Our reporting tool would be a perfect fit if you:

• Want to analyze data quickly.
• Are looking for an online reporting tool.
• Need a lightweight web pivot table.
• Don’t know how to code or don’t want to.

Why is it cool

• WebDataRocks easily embeds in your web page not requiring much programming skills.
• You can save your time and expenses on integration as it’s already configured and ready to use.
• Our tool has enterprise features for a real business, despite being costless.
• It’s a powerful analytic tool with a well-designed ready-to-use modern UI.

The main benefit is that WebDataRocks is an absolutely free tool created by passionate data lovers from Flexmonster.

How can I get WebDataRocks and add it to my project

To make it simple for you we’ve prepared an integration tutorial that provides you with easy instructions on how to download WebDataRocks and add it to your website or application.

How can I use more advanced options

For those of our users who want to further explore WebDataRocks functionality, we prepared guides on the following topics:

• Custom report themes
• Localization
• Integration with frameworks
• Integration with charting libraries (amCharts, Highcharts, Google Charts, and FusionCharts)
• List of API methods and objects

Some thoughts from creators

We truly hope that you will enjoy all this experience with WebDataRocks. It’s created to help solve data analysis needs for different kinds of projects: start-ups, nonprofit, or commercial. So, if it will work for you, please share your success with others. Let data rock this world!

License

By downloading, installing, and/or using WebDataRocks, you agree with the terms of WebDataRocks End User License Agreement.

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