1596465120

# An Easy Way to Draw Spider Charts on Tableau

A spider chart is also called radar chart, it can be used to describe data with 3 or more dimensions with quantitative measures. Basically, whenever you want to analyze data using a pie chart, you can consider if you want to try a more advanced radar chart.

Tableau is one of the most popular data visualization tools now, but it doesn’t have a built-in spider chart to work with. I read many articles written about how to build a radar chart on Tableau and I worked out this very easy and simple method after trying many other complicated methods.

In this article, I will use the data set of Canada University Ranking 2015 posted on Kaggle as an example trying to compare universities in Canada by 6 dimensions: employment, faculty, publication, influence, broad and patents.

Data Set Preview

Let’s have a look at the radar chart I created on Tableau firstly. You can also find the radar chart I created on Tableau from here**.**👈

>>> Step 1: Pivot Data

Holding [Ctrl] select all the 6 qualities > right-click > click [Pivot]

Make sure dimension [Quality] names in a column and value [Score] of dimensions in another column.

Data Table after Pivoting

>>> Step 2: Create Calculated Fields

№1. [Path]

Create a calculated field

[Path] field tells Tableau the sequencing by which the ‘web’ should walk.

``````CASE [Quality]
WHEN 'employment' THEN 1
WHEN 'influence' THEN 3
WHEN 'patents' THEN 4
WHEN 'publications' THEN 5
WHEN 'faculty' THEN 6
END
``````

№2. [X-axis]

We’ll use Trigonometry to indicate the direction of each corner of our “spider web”, X-axis is cos value of an angel and Y-axis is sin value of the coordinating angel.

#tableau #data-visualization #data-science #data analysis

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

1596464700

## An Easy Way to Draw Spider Charts on Tableau

A spider chart is also called radar chart, it can be used to describe data with 3 or more dimensions with quantitative measures. Basically, whenever you want to analyze data using a pie chart, you can consider if you want to try a more advanced radar chart.

Tableau is one of the most popular data visualization tools now, but it doesn’t have a built-in spider chart to work with. I read many articles written about how to build a radar chart on Tableau and I worked out this very easy and simple method after trying many other complicated methods.

In this article, I will use the data set of Canada University Ranking 2015 posted on Kaggle as an example trying to compare universities in Canada by 6 dimensions: employment, faculty, publication, influence, broad and patents.

Image for post

Data Set Preview

Let’s have a look at the radar chart I created on Tableau firstly. You can also find the radar chart I created on Tableau from here**.**👈

>>> Step 1: Pivot Data

Holding [Ctrl] select all the 6 qualities > right-click > click [Pivot]

Make sure dimension [Quality] names in a column and value [Score] of dimensions in another column.

Data Table after Pivoting

>>> Step 2: Create Calculated Fields

№1. [Path]

Create a calculated field

[Path] field tells Tableau the sequencing by which the ‘web’ should walk.

``````CASE [Quality]
WHEN 'employment' THEN 1
WHEN 'influence' THEN 3
WHEN 'patents' THEN 4
WHEN 'publications' THEN 5
WHEN 'faculty' THEN 6
END
``````

№2. [X-axis]

We’ll use Trigonometry to indicate the direction of each corner of our “spider web”, X-axis is cos value of an angel and Y-axis is sin value of the coordinating angel.

#tableau #data-visualization #data-science #data analysis

1596465120

## An Easy Way to Draw Spider Charts on Tableau

A spider chart is also called radar chart, it can be used to describe data with 3 or more dimensions with quantitative measures. Basically, whenever you want to analyze data using a pie chart, you can consider if you want to try a more advanced radar chart.

Tableau is one of the most popular data visualization tools now, but it doesn’t have a built-in spider chart to work with. I read many articles written about how to build a radar chart on Tableau and I worked out this very easy and simple method after trying many other complicated methods.

In this article, I will use the data set of Canada University Ranking 2015 posted on Kaggle as an example trying to compare universities in Canada by 6 dimensions: employment, faculty, publication, influence, broad and patents.

Data Set Preview

Let’s have a look at the radar chart I created on Tableau firstly. You can also find the radar chart I created on Tableau from here**.**👈

>>> Step 1: Pivot Data

Holding [Ctrl] select all the 6 qualities > right-click > click [Pivot]

Make sure dimension [Quality] names in a column and value [Score] of dimensions in another column.

Data Table after Pivoting

>>> Step 2: Create Calculated Fields

№1. [Path]

Create a calculated field

[Path] field tells Tableau the sequencing by which the ‘web’ should walk.

``````CASE [Quality]
WHEN 'employment' THEN 1
WHEN 'influence' THEN 3
WHEN 'patents' THEN 4
WHEN 'publications' THEN 5
WHEN 'faculty' THEN 6
END
``````

№2. [X-axis]

We’ll use Trigonometry to indicate the direction of each corner of our “spider web”, X-axis is cos value of an angel and Y-axis is sin value of the coordinating angel.

#tableau #data-visualization #data-science #data analysis

1577937949

## 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.

## 2. Channel Grapher

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

## 3. react-charts

Simple, immersive and interactive charts for React.

Features

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

## 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.

## 5. STORM React Diagrams

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

## 6. React-d3-graph

Interactive and configurable graphs with react and d3 effortlessly.

## 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.

## 8. preact-charts

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

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

## 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.

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

1603713809

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