Madyson  Reilly

Madyson Reilly

1600159740

Building Racing Bar Chart in D3js

We at School Of AI Hyderabad, built the Racing Bar Chart in collaboration with Co-learning Lounge (CLL) its an fastest-growing tech community in a mission to open-source education hence making it affordable. All the community members will get the free access to this article through friendly link. Check out our work in the video below.

Let’s start building the Racing Bar Chart

First, if you don’t know the basics of D3js I would highly recommend you to go through my D3js article otherwise it will be very difficult as I won’t be explaining any technical stuff here.

D3.js Basic to Mastery Part 1 Fundamentals

If you have clicked on this article I am assuming you already have idea on what is d3js, You can brush through it in…

medium.com

D3js Basic to Mastery Part 2 Mastery

In the last article we learned about fundamentals of D3js such as selections, DOM Manipulation, SVG, Scales and data…

medium.com

Data Source

The data source I am going to use is from https://api.covid19india.org which is “A volunteer-driven, crowd-sourced database for COVID-19 stats & patient tracing in India.”. I took the states daily json data from

https://api.covid19india.org/states_daily.json.

Let’s check the data format.

{"states_daily": [
{"an": "0"
"ap": "1",
"ar": "0",
"as": "0",
"date": "14-Mar-20",
"dd": "0",
"dl": "7",
...
"status": "Confirmed",
"tg": "1",
"tn": "1",
...}]}

You can see under the states_daily Object, there is an array object with all state codes and the date and status. We can group the items with data and status and then use it to build the chart.

Setup your project add D3js then come back.

Processing Data

Use fetch to get the data from the API.

fetch('https://api.covid19india.org/states_daily.json')
     .then(res => res.json())
     .then((data: any) => {
       const processedData = processData(data);
       plotChart(processedData)
})

We process the data into desired format in processData function and pass it to plotChart funtion to plot the chart.

function processData(data) { 
   return d3.group(data.states_daily, d => d.date, e => e.status);
}

This is doing a two stage nesting of the data. We took date for the first stage nest because we need to iterate through the dates. As you know we need to animate through each date to make it look like a racing chart. Second stage nesting we took the status as we only need to compare one type of status at any given date.

The output is the Map key pair values with date as key and another Map with status as key. If you don’t know about Map in Javascript Learn about it by clicking here. It also improves performance over Object for large datasets.

Image for post

Okay, now we got the data processed, to plot the chart, first we need make the scales. To make the scales we need the size of our SVG, and also the extant (min, max) of the data. When not animating, we only plot chart for a single date at a time. So lets build for a single date.

#data-visualization #javascript #d3js #front-end-development #bar-chart-race

What is GEEK

Buddha Community

Building Racing Bar Chart in D3js
Madyson  Reilly

Madyson Reilly

1600159740

Building Racing Bar Chart in D3js

We at School Of AI Hyderabad, built the Racing Bar Chart in collaboration with Co-learning Lounge (CLL) its an fastest-growing tech community in a mission to open-source education hence making it affordable. All the community members will get the free access to this article through friendly link. Check out our work in the video below.

Let’s start building the Racing Bar Chart

First, if you don’t know the basics of D3js I would highly recommend you to go through my D3js article otherwise it will be very difficult as I won’t be explaining any technical stuff here.

D3.js Basic to Mastery Part 1 Fundamentals

If you have clicked on this article I am assuming you already have idea on what is d3js, You can brush through it in…

medium.com

D3js Basic to Mastery Part 2 Mastery

In the last article we learned about fundamentals of D3js such as selections, DOM Manipulation, SVG, Scales and data…

medium.com

Data Source

The data source I am going to use is from https://api.covid19india.org which is “A volunteer-driven, crowd-sourced database for COVID-19 stats & patient tracing in India.”. I took the states daily json data from

https://api.covid19india.org/states_daily.json.

Let’s check the data format.

{"states_daily": [
{"an": "0"
"ap": "1",
"ar": "0",
"as": "0",
"date": "14-Mar-20",
"dd": "0",
"dl": "7",
...
"status": "Confirmed",
"tg": "1",
"tn": "1",
...}]}

You can see under the states_daily Object, there is an array object with all state codes and the date and status. We can group the items with data and status and then use it to build the chart.

Setup your project add D3js then come back.

Processing Data

Use fetch to get the data from the API.

fetch('https://api.covid19india.org/states_daily.json')
     .then(res => res.json())
     .then((data: any) => {
       const processedData = processData(data);
       plotChart(processedData)
})

We process the data into desired format in processData function and pass it to plotChart funtion to plot the chart.

function processData(data) { 
   return d3.group(data.states_daily, d => d.date, e => e.status);
}

This is doing a two stage nesting of the data. We took date for the first stage nest because we need to iterate through the dates. As you know we need to animate through each date to make it look like a racing chart. Second stage nesting we took the status as we only need to compare one type of status at any given date.

The output is the Map key pair values with date as key and another Map with status as key. If you don’t know about Map in Javascript Learn about it by clicking here. It also improves performance over Object for large datasets.

Image for post

Okay, now we got the data processed, to plot the chart, first we need make the scales. To make the scales we need the size of our SVG, and also the extant (min, max) of the data. When not animating, we only plot chart for a single date at a time. So lets build for a single date.

#data-visualization #javascript #d3js #front-end-development #bar-chart-race

Einar  Hintz

Einar Hintz

1593235440

Visualizing data with NGX-Charts in Angular

Data Science, Data Analytics, Big Data, these are the buzz words of today’s world. A huge amount of data is being generated and analyzed every day. So communicating the insights from that data becomes crucial. Charts help visualize the data and communicate the result of the analysis with charts, it becomes easy to understand the data.

There are a lot of libraries for angular that can be used to build charts. In this blog, we will look at one such library, NGX-Charts. We will see how to use it in angular and how to build data visualizations.

What we will cover:

  1. Installing ngx-chart.

  2. Building a vertical bar graph.

  3. Building a pie chart.

  4. Building an advanced pie chart.

A brief introduction about NGX-Charts

NGX-Chart charting framework for angular2+. It’s open-source and maintained by Swimlane.

NGX-Charts does not merely wrap d3, nor any other chart engine for that matter. It is using Angular to render and animate the SVG elements with all of its binding and speed goodness and uses d3 for the excellent math functions, scales, axis and shape generators, etc. By having Angular do all of the renderings it opens us up to endless possibilities the Angular platform provides such as AoT, Universal, etc.

NGX-Charts supports various chart types like bar charts, line charts, area charts, pie charts, bubble charts, doughnut charts, gauge charts, heatmap, treemap, and number cards.

Installation and Setup

1. Install the ngx-chart package in your angular app.

npm install @swimlane/ngx-charts --save

2. At the time of installing or when you serve your application is you get an error:

ERROR in The target entry-point "@swimlane/ngx-charts" has missing dependencies: - @angular/cdk/portal

You also need to install angular/cdk

npm install @angular/cdk --save

3. Import NgxChartsModule from ‘ngx-charts’ in AppModule

4. NgxChartModule also requires BrowserAnimationModule. Import is inAppModule.

app.module.ts

import { BrowserModule } from '@angular/platform-browser';
import { NgModule } from '@angular/core';
import { AppComponent } from './app.component';
import { NgxChartsModule }from '@swimlane/ngx-charts';
import { BrowserAnimationsModule } from '@angular/platform-browser/animations';
@NgModule({
  declarations: [
    AppComponent
  ],
  imports: [
    BrowserModule,
    BrowserAnimationsModule,
    NgxChartsModule
  ],
  providers: [],
  bootstrap: [AppComponent]
})
export class AppModule { }

Amazing! Now we can start using ngx-chart component and build the graph we want.

In the AppComponent we will provide data that the chart will represent. It’s a sample data for vehicles on the road survey.

#angular #angular 6 #scala #angular #angular 9 #bar chart #charting #charts #d3 charts #data visualisation #ngx #ngx charts #pie

How To Create Dynamic Bar Chart In Laravel

Today I will show you how to create dynamic bar chart in laravel, dynamic bar charts are use to representing data in graphics view, for creation of dynamic bar chart example you need to create route, controller, blade file and database, So if you will follow my tutorial step by step then definitely you will get output.

So, let’s start.

Read More : How To Create Dynamic Bar Chart In Laravel
https://websolutionstuff.com/post/how-to-create-dynamic-bar-chart-in-laravel


Read Also : How To Create Dynamic Pie Chart In Laravel
https://websolutionstuff.com/post/how-to-create-dynamic-pie-chart-in-laravel

Thanks for reading !!

#laravel #dynamic bar chart #bar chart #bar chart in laravel

Horse Racing Betting App Development I Horse Racing Betting Software Development

https://mobiwebtech.us/horse-racing-betting-app-development/

Mobiweb Technologies is a world-best Horse racing betting app development company. Horse racing betting app development experts at Mobiweb deliver real-time horse racing software solutions and provide scalable horse racing betting websites and apps.

#horse racing betting software development #horse racing betting app development #horse racing betting app developers #horse racing betting app development company #horse racing betting app development services

Top 10 Best React Chart Component for App

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.

1. Rough Charts

A responsive, composable react charting library with a hand-drawn style.

Features

  • It’s responsive.
  • It’s flexible and easy to compose. You can compose all available ChartSeries Components and render any shapes you like.
  • It’s lovely.
  • It’s written in TypeScript.

Rough Charts

View Demo: https://beizhedenglong.github.io/rough-charts/?path=/docs/roughcharts–page

Github: https://github.com/beizhedenglong/rough-charts

Download Link: https://github.com/beizhedenglong/rough-charts/archive/master.zip

2. Channel Grapher

This is a responsive ThingSpeak API grapher. It uses a JSON router to overcome CORS.

Built using ReactJS, Bootstrap and ChartJS.

Channel Grapher

View Demo: https://opens3.net/channel-grapher.html

Github: https://github.com/wilyarti/channel-grapher

Download Link: https://github.com/wilyarti/channel-grapher/archive/master.zip

3. react-charts

Simple, immersive and interactive charts for React.

Features

  • Line, Bar, Bubble, & Area Charts
  • Hyper Responsive
  • Powered by D3
  • Fully Declarative
  • Flexible data model

react-charts

View Demo: https://react-charts.js.org/examples/line

Github: https://github.com/tannerlinsley/react-charts

Download Link: https://github.com/tannerlinsley/react-charts/archive/master.zip

4. react-charts-and-maps

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-charts-and-maps

View Demo: https://marekdano.github.io/react-charts-and-maps/

Github: https://github.com/marekdano/react-charts-and-maps

Download Link: https://github.com/marekdano/react-charts-and-maps/archive/master.zip

5. STORM React Diagrams

React Diagrams is currently getting a bit of a rewrite to enable much more advanced features.

STORM React Diagrams

View Demo: http://projectstorm.cloud/react-diagrams/?path=/story/simple-usage–simple-flow-example

Github: https://github.com/projectstorm/react-diagrams

Download Link: https://github.com/projectstorm/react-diagrams/archive/master.zip

6. React-d3-graph

Interactive and configurable graphs with react and d3 effortlessly.

React-d3-graph

View Demo: https://goodguydaniel.com/react-d3-graph/sandbox/index.html

Github: https://github.com/jcapobianco-cbi/react-d3-graph-cbi

Download Link: https://github.com/jcapobianco-cbi/react-d3-graph-cbi/archive/master.zip

7. React-VizGrammar

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.

React VizGrammar

View Demo: https://wso2.github.io/react-vizgrammar/#/

Github: https://github.com/wso2/react-vizgrammar

Download Link: https://github.com/wso2/react-vizgrammar/archive/master.zip

8. preact-charts

preact based charting library. Written with d3-maths, and TypeScript!

preact-charts

View Demo: https://codesandbox.io/s/ko300qzppv

Github: http://github.com/pmkroeker/preact-charts

Download Link: https://github.com/pmkroeker/preact-charts/archive/master.zip

9. REAVIZ

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.

REAVIZ

View Demo: https://reaviz.io/?path=/docs/docs-intro–page

Github: https://github.com/jask-oss/reaviz

Download Link: https://github.com/jask-oss/reaviz/archive/master.zip

10. React Signals Plot

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 Signals Plot

View Demo: https://gromtech.github.io/react-signals-plot/

Github: https://github.com/gromtech/react-signals-plot

Download Link: https://github.com/gromtech/react-signals-plot/archive/develop.zip

#react #react-chart #react-chart-component #chart #chart-component