43 docs tagged with "Software Developer"

The Analytic Suite widget enables users to display the distinct data analysis views available within the Analyze functionality of Qrvey Composer. This includes Summaries, Tables, Metric Views, etc.

The Automation widget enables you to embed the Automated Flows feature within an application.

Overview

This video provides an in-depth overview of Column-Level Security and how to configure it. It demonstrates how to create a Role in Qrvey Admin Center, how to use the Get Dataset, Update Dataset, and Apply Dataset Changes APIs to enable Column-Level Security for a dataset, and how to include the Role in a JSON Web Token (JWT).

A Connection is a link established between Qrvey and an external data source.

This video describes how to publish the dashboards that you create in Qrvey Composer so that they are available to end users. It covers both embedded and non-embedded scenarios. Features discussed include Publish, Unpublish, Embed, and Live Preview. This video also describes how to use the Navigation feature in Page Builder, as well as an overview of the appid and pageid parameters.

Qrvey Composer supports the configuration of Push API connections from the Connections page within the Dataset UI. This feature provides “creator” users a low-code way to create datasets that are populated from a specified API connection. Configuring a dataset to use a Push API connection is a two-step process. First, a Push API connection type with a sample JSON object structure must be supplied. Second, the dataset must be configured to refer to the Push API connection for the expected metadata schema, and then the API connection details must be configured to perform the data push.

This article describes how to create a dataset from scratch using the Qrvey endpoint, Create Dataset. This endpoint enables you to set the properties of all dataset elements that you want to create. To learn more about how datasets work in Qrvey Composer, see Overview of Datasets.

A dataset view is a type of reference dataset that points to another dataset as its source. Dataset views allow you to create a customized view of a dataset for users with access to the application where the dataset view resides. Dataset views only belong to a single application; however, the source dataset can belong to a different application. Dataset views are recommended whenever you want to share data amongst users with access to different applications and avoid replicating and copying large datasets.

This tutorial demonstrates an end-to-end process for using the Qrvey API. It assumes that you have a basic understanding of REST APIs, how to make web requests, and how to work with responses in JSON format. We will use Postman to send requests and view responses.

Custom events enable Qrvey Software Developers to handle custom scenarios. This article describes several custom events that can be triggered by Qrvey widgets. The host application can be programmed to listen to these events and then perform its own custom tasks. The Dashboard Builder and Dashboard View widgets support the following custom events:

The Bullet Chart and Dial Chart support the use of custom tokens to set threshold values. Custom tokens are based on individualized criteria and are set dynamically each time the widget is rendered.

You can fully customize the visual theme of embedded widgets using CSS. For examples, please see our Codepen.

When embedded in an application, the Dashboard Builder widget enables users to modify existing dashboards or add new dashboards. Dashboards may contain reports, web forms, or other content.

The Dashboard View widget enables you to embed one or more dashboards or a mashup of several charts, maps, and metrics into your application.

The Download Manager widget enables users to access and manage exported files in a central location. For more information about this feature, see Download Manager.

Introduction

Qrvey has two different embedding options available if you'd like to display your web form on a website, blog, web or mobile application.

Everything that is created in Qrvey Composer is ultimately for the benefit of an “End User”. In some cases, the Data Analyst persona may be the same as the End User, and in other cases they may be different people. However, in all cases, the permissions and interactions with the content are different between the two personas: Data Analysts create content that End Users interact with.

Qrvey provides filtering to refine data based on your needs. When embedding Qrvey Widgets into your system, you may need to combine Qrvey’s filters with your own set of filter controls. This article walks you through the steps needed to pass the values of your own filters to embedded Qrvey widgets. For an general introduction to filters, please see Working with Interactive Filters.

This article contains frequently asked questions organized by user persona.

Introduction

Qrvey platform supports internationalization and localization for end users in a comprehensive manner. Multi-lingual support is offered for both “static” and “dynamic” text, as well as formatting of numbers and dates based on regions and cultures.

Software Developers embed Qrvey widgets in their host applications and use Qrvey APIs to programmatically interact with the Qrvey platform. This section of the Qrvey Partner Portal provides Software Developers with the information they need to perform these tasks. Articles include:

The Qrvey platform is an all-in-one analytics solution that enables SaaS providers to put cutting-edge analytics into the hands of their users. This article contains essential information required to understand how to work with the Qrvey platform.

Developers can seamlessly embed the Qrvey platform’s functionalities (such as web form builders, data visualizations, and more) directly into their frontend applications using a comprehensive suite of customizable “widgets”.

This video provides an in-depth overview of how to securely integrate Qrvey widgets using JSON Web Tokens (JWT). JWT enables you to encrypt sensitive data, such as your organization’s API access key, logged-in user’s ID and role, as well as sensitive record-level security filters. This video demonstrates how to securely embed the Page View widget in an application using a JWT token, which includes examples of front-end and back-end code.

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This video discusses multi-tenancy architecture of the Qrvey platform for SaaS organizations. Includes a demonstration of a parent application that embeds a Qrvey application in a multi-tenant environment. Topics covered include:

The Pixel-perfect Reports widget enables you to embed the Pixel-perfect Reports feature in an application.

This article describes how to use the Post Data API to update a Managed Dataset. Managed Datasets store data in Amazon OpenSearch/Elasticsearch service. The Post Data API is provided by the Qrvey Data Router component.

Qrvey makes it easy to publish your web forms just about anywhere. This article discusses different ways you can use your forms, surveys, and quizzes. For information on embedding web forms, see Embedding Web Forms.

Overview

Upgrade Note: If you are planning to upgrade to a new version of Qrvey, please read through the Upgrade and release notes on all prior versions, as they may contain platform changes that must be accounted for in the development process. You can follow the steps outlined in Upgrading to a New Version and use the upgrade link for the desired version, provided in the relevant section below. If you have multiple Qrvey instances in the same AWS account AND region or if you deployed the instances in all private subnets (with VPN access) you would have to use the Advanced template to upgrade, please contact the Qrvey support team to get the Advanced upgrade link and necessary instructions for the upgrade.

This video provides an in-depth overview of Row-Level Security, which is especially important for multi-tenant environments. It demonstrates how to enable Row-Level Security for the columns in a dataset, and how to configure a widget in code to enforce Row-Level Security. It also describes how to enable Record-Level Security in the Qrvey Admin Center.

This video describes how to use Security Groups to manage user accounts. Topics discussed include the difference between the two primary users of Qrvey dashboards, Composers and Consumers, and how they relate to a Security Group Model. This video then demonstrates how to create Composers using Qrvey Admin Center and how to create Consumers using Qrvey Composer. It also describes how to use the Qrvey API to programmatically create users and groups.

This video provides an overview of the Security features in the Qrvey platform. Topics discussed include authentication versus authorization, configuring user roles and groups, and configuring role-level security and column-level security.

The Single Panel widget enables you to embed a chart, metric, or summary panel that has already been created in Qrvey Composer.

The Qrvey platform enables end users to display dates and times in their local time zone. The Qrvey platform stores data in UTC/GMT+0 and adjusts the time displayed to the end user based on their preferred settings. The default time zone setting is specified in Qrvey Admin Center, but it can be overridden programmatically. The possible settings are:

When embedded in an application, the Web Form Design widget enables end users to create, preview, and modify web forms. The Qrvey platform provides three types of web forms: survey, form, and quiz.

The Web Form End User widget enables allows you to embed web forms into your frontend application. Alternatively, you can use an iframe to embed Web Forms.

When embedding Qrvey widgets in your applications, you have to authenticate to authorize use of the widget.

This video provides an in-depth overview of Widgets in Qrvey. It defines Widgets, describes the process for embedding Widgets in an application, provides real-life examples of embedded Widgets, and describes Widget best-practices.