In this tutorial, you will learn how to display data in a histogram chart in React app. We will teach you how to create the histogram chart component in React app. To build the segmented chart, we will use the React Google chart library.
Let us understand what a histogram chart is? The histogram chart looks very much similar to the bar chart; however, its purpose is diffrent.
The typical use case of a histogram chart is to show the frequency distribution, and It typically shows each diffrent value in a set of data that occurs.
Google’s chart library offers the best solution for building the segmented chart; we will show you how to use the React google chart plugin to create the histogram chart.
If you are undertaking a mobile app development for your start-up or enterprise, you are likely wondering whether to use React Native. As a popular development framework, React Native helps you to develop near-native mobile apps. However, you are probably also wondering how close you can get to a native app by using React Native. How native is React Native?
In the article, we discuss the similarities between native mobile development and development using React Native. We also touch upon where they differ and how to bridge the gaps. Read on.
Let’s briefly set the context first. We will briefly touch upon what React Native is and how it differs from earlier hybrid frameworks.
Although relatively new, React Native has acquired a high degree of popularity. The “Stack Overflow Developer Survey 2019” report identifies it as the 8th most loved framework. Facebook, Walmart, and Bloomberg are some of the top companies that use React Native.
The popularity of React Native comes from its advantages. Some of its advantages are as follows:
Are you wondering whether React Native is just another of those hybrid frameworks like Ionic or Cordova? It’s not! React Native is fundamentally different from these earlier hybrid frameworks.
React Native is very close to native. Consider the following aspects as described on the React Native website:
Due to these factors, React Native offers many more advantages compared to those earlier hybrid frameworks. We now review them.
#android app #frontend #ios app #mobile app development #benefits of react native #is react native good for mobile app development #native vs #pros and cons of react native #react mobile development #react native development #react native experience #react native framework #react native ios vs android #react native pros and cons #react native vs android #react native vs native #react native vs native performance #react vs native #why react native #why use react native
If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.
If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.
In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.
#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition
The opportunities big data offers also come with very real challenges that many organizations are facing today. Often, it’s finding the most cost-effective, scalable way to store and process boundless volumes of data in multiple formats that come from a growing number of sources. Then organizations need the analytical capabilities and flexibility to turn this data into insights that can meet their specific business objectives.
This Refcard dives into how a data lake helps tackle these challenges at both ends — from its enhanced architecture that’s designed for efficient data ingestion, storage, and management to its advanced analytics functionality and performance flexibility. You’ll also explore key benefits and common use cases.
As technology continues to evolve with new data sources, such as IoT sensors and social media churning out large volumes of data, there has never been a better time to discuss the possibilities and challenges of managing such data for varying analytical insights. In this Refcard, we dig deep into how data lakes solve the problem of storing and processing enormous amounts of data. While doing so, we also explore the benefits of data lakes, their use cases, and how they differ from data warehouses (DWHs).
This is a preview of the Getting Started With Data Lakes Refcard. To read the entire Refcard, please download the PDF from the link above.
#big data #data analytics #data analysis #business analytics #data warehouse #data storage #data lake #data lake architecture #data lake governance #data lake management
React chart is a graphical representation of data, in which “the data is represented by symbols, such as bars in a bar chart, lines in a line chart, or slices in a pie chart”. Using the right type of chart is one decision to make when presenting data but as React developers, we have our own set of concerns, mainly, choosing the right chart component library.
Here are the 10 best react charts component I’ve picked. You can view and apply to your application.
A responsive, composable react charting library with a hand-drawn style.
This is a responsive ThingSpeak API grapher. It uses a JSON router to overcome CORS.
Built using ReactJS, Bootstrap and ChartJS.
View Demo: https://opens3.net/channel-grapher.html
Simple, immersive and interactive charts for React.
View Demo: https://react-charts.js.org/examples/line
This project contains the implementation of libraries D3, highcharts and react-google-maps with the ReactJS. It shows how easy is adding those libraries in ReactJS.
React Diagrams is currently getting a bit of a rewrite to enable much more advanced features.
Interactive and configurable graphs with react and d3 effortlessly.
React VizGrammar is a wrapper around Victory JS and it makes charting easier by adding boilerplate code so that designers and developers can get started and set it up in a few minutes.
A chart can be embedded in a React environment simply by using the VizG react component.
View Demo: https://wso2.github.io/react-vizgrammar/#/
Download Link: https://github.com/wso2/react-vizgrammar/archive/master.zip
preact based charting library. Written with d3-maths, and TypeScript!
View Demo: https://codesandbox.io/s/ko300qzppv
REAVIZ is a modular chart component library that leverages React natively for rendering the components while using D3js under the hood for calculations. The library provides an easy way to get started creating charts without sacrificing customization ability.
Download Link: https://github.com/jask-oss/reaviz/archive/master.zip
This is React Signals Plot component for geophysical data visualization.
The component supports ‘on the fly’ data compression. That’s why you can use it for drawing line charts which contain millions of points. ReactSignalsPlot is an interactive component. You can use a mouse or touch to move and zoom.
#react #react-chart #react-chart-component #chart #chart-component
The COVID-19 pandemic disrupted supply chains and brought economies around the world to a standstill. In turn, businesses need access to accurate, timely data more than ever before. As a result, the demand for data analytics is skyrocketing as businesses try to navigate an uncertain future. However, the sudden surge in demand comes with its own set of challenges.
Here is how the COVID-19 pandemic is affecting the data industry and how enterprises can prepare for the data challenges to come in 2021 and beyond.
#big data #data #data analysis #data security #data integration #etl #data warehouse #data breach #elt