Maud  Rosenbaum

Maud Rosenbaum


20 JavaScript Data Visualization Tools You Can Use for the Web

JavaScript Data Visualization Tools you can use as a Web Developer: Fabric.js; Papers.js; Chart.js; Metrics-graphics; Three.js; Raphael; D3; Vis; Two.js; Sigma.js; Arbor; Cubism; Dc.js; Vega; Rickshaw; Flot; Heatmap.js; D3-cloud; Jquery.sparkline; Chartist-js; GraphicsJS

There are many JavaScript data visualization libraries that can help you display data and in this post, I picked a few of them that I found worth noting so hopefully, it will help you to find the best one for you.

When creating a webpage or application, you will most definitely reach the point where you will need to present some information to the user. It is important to arrange the data in a clear way, for example, by using interactive charts on your website.

  • Fabric.js — JavaScript Canvas Library, SVG-to-Canvas (& canvas-to-SVG) Parser
  • Papers.js — Swiss army knife of vector graphics scripting
  • Chart.js — Open source HTML5 Charts for your website
  • Metrics-graphics — A library optimized for concise, principled data graphics and layouts
  • Three.js — JavaScript 3D library
  • Raphael — JavaScript Vector Library
  • D3 — A JavaScript visualization library for HTML and SVG
  • Vis — Dynamic, browser-based visualization library
  • Two.js — A renderer agnostic two-dimensional drawing API for the web
  • Sigma.js — A JavaScript library dedicated to graph drawing
  • Arbor — A graph visualization library using web workers and jQuery
  • Cubism — A D3 plugin for visualizing time series
  • Dc.js — Multi-Dimensional charting built to work natively with cross filter rendered with d3.js
  • Vega — A visualization grammar
  • Rickshaw — JavaScript toolkit for creating interactive real-time graphs.
  • Flot — Attractive JavaScript charts for jQuery
  • Heatmap.js — JavaScript Library for HTML5 canvas based heatmaps
  • D3-cloud — Create word clouds in JavaScript
  • Jquery.sparkline — A plugin for the jQuery JavaScript library to generate
  • Chartist-js — Simple responsive charts
  • GraphicsJS — A lightweight JavaScript graphics library with an intuitive API, based on SVG/VML technology

#programming #javascript #web-development #developer

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20 JavaScript Data Visualization Tools You Can Use for the Web
 iOS App Dev

iOS App Dev


Your Data Architecture: Simple Best Practices for Your Data Strategy

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

Ian  Robinson

Ian Robinson


Top 10 Big Data Tools for Data Management and Analytics

Introduction to Big Data

What exactly is Big Data? Big Data is nothing but large and complex data sets, which can be both structured and unstructured. Its concept encompasses the infrastructures, technologies, and Big Data Tools created to manage this large amount of information.

To fulfill the need to achieve high-performance, Big Data Analytics tools play a vital role. Further, various Big Data tools and frameworks are responsible for retrieving meaningful information from a huge set of data.

List of Big Data Tools & Frameworks

The most important as well as popular Big Data Analytics Open Source Tools which are used in 2020 are as follows:

  1. Big Data Framework
  2. Data Storage Tools
  3. Data Visualization Tools
  4. Big Data Processing Tools
  5. Data Preprocessing Tools
  6. Data Wrangling Tools
  7. Big Data Testing Tools
  8. Data Governance Tools
  9. Security Management Tools
  10. Real-Time Data Streaming Tools

#big data engineering #top 10 big data tools for data management and analytics #big data tools for data management and analytics #tools for data management #analytics #top big data tools for data management and analytics

Sid  Schuppe

Sid Schuppe


How To Blend Data in Google Data Studio For Better Data Analysis

Using data to inform decisions is essential to product management, or anything really. And thankfully, we aren’t short of it. Any online application generates an abundance of data and it’s up to us to collect it and then make sense of it.

Google Data Studio helps us understand the meaning behind data, enabling us to build beautiful visualizations and dashboards that transform data into stories. If it wasn’t already, data literacy is as much a fundamental skill as learning to read or write. Or it certainly will be.

Nothing is more powerful than data democracy, where anyone in your organization can regularly make decisions informed with data. As part of enabling this, we need to be able to visualize data in a way that brings it to life and makes it more accessible. I’ve recently been learning how to do this and wanted to share some of the cool ways you can do this in Google Data Studio.

#google-data-studio #blending-data #dashboard #data-visualization #creating-visualizations #how-to-visualize-data #data-analysis #data-visualisation

Gerhard  Brink

Gerhard Brink


Top 10 Big Data Tools for 2021!

In today’s tech world, data is everything. As the focus on data grows, it keeps multiplying by leaps and bounds each day. If earlier mounds of data were talked about in kilobytes and megabytes, today terabytes have become the base unit for organizational data. This coming in of big data has transformed paradigms of data storage, processing, and analytics.

Instead of only gathering and storing information that can offer crucial insights to meet short-term goals, an increasing number of enterprises are storing much larger amounts of data gathered from multiple resources across business processes. However, all this data is meaningless on its own. It can add value only when it is processed and analyzed the right way to draw point insights that can improve decision-making.

Processing and analyzing big data is not an easy task. If not handled correctly, big data can turn into an obstacle rather than an effective solution for businesses. Effective handling of big data management  requires to use of tools that can steer you toward tangible, substantial results. For that, you need a set of great big data tools that will not only solve this problem but also help you in producing substantial results.

Data storage tools, warehouses, and data lakes all play a crucial role in helping companies store and sort vast amounts of information. However, the true power of big data lies in its analytics. There are a host of big data tools in the market today to aid a business’ journey from gathering data to storing, processing, analyzing, and reporting it. Let’s take a closer look at some of the top big data tools that can help you inch closer to your goal of establishing data-driven decision-making and workflow processes.

Apache Hadoop

Apache Spark


Apache Storm

Apache Cassandra

#big data #big data tools #big data management #big data tool #top 10 big data tools for 2021! #top-big-data-tool

Aketch  Rachel

Aketch Rachel


How Can I Scrape The Data From A Website I Don't Own?

Why Do You Need To Scrape Data From Websites?

There are lots of different reasons why you need to scrape

data from websites as a business. You can use the data you collect for market research, to make more informed decisions, to answer questions more credibly, and to produce more high-quality content, products, or services that better serve your customers.

As for being an agency, the biggest reason why you’d scrape data would be to help your team come up with creative solutions that solve your clients’ unique challenges.

But collecting data can be very time-consuming. What are the

best strategies for scraping data that make it easy?

Here’s a list of the top five best data extraction tools we recommend that can scrape data from websites by name, zip code, and URL. These data mining tools not only automatically collect data for you, but can also save this data in a useful and readable format like CSV, Excel, or Text files. Some are better for mass data collection while others are better suited for collecting client data like email and phone numbers.

Top 5 Data Scraping Tools To Scrape Data From Websites

Choosing the ideal Web Scraping Tool that perfectly meets your business needs can be a challenging task, especially when there’s a large variety of Web Harvesting Tools available on the internet. To simplify your search, here is a comprehensive list of 5 Best Web Scraping Tools that you can choose from:

1. Anysite Scraper

Anysite Scraper is an incredibly powerful and elegant tool that allows you to build web scrapers without having to write a single line of code. You can build your own web scrapers for multiple websites like Facebook, Twitter, Amazon, eBay, Etsy, Walmart, Yellow Pages, etc.

Anysite Web Data Extractor is targeted at pretty much anyone that wishes to play around with data. This could be anyone from analysts, freelancers, marketers, and data scientists to journalists. If you have a list of website URLs, you can scrape data from these URLs with Anysite Web Crawler. But, If you don’t have the list of URLs, you can find your prospect’s details by name and zip code.

2. Google Map Extractor

If you’re looking for a business scraping tool that can scrape data from Google Maps, Google Maps Data Extractor is the way to go. The Google Maps Scraper helps you quickly find and scrape multiple business listing data from Google Maps.

The Google Maps Data Grabber has the ability to scrape data by business listing URL, business name, and area code. You can store your data in CSV, Excel, or Text file formats. Unfortunately, Google Maps Crawler isn’t free but the subscription plans are affordable.

3. Cute Web Phone Number Extractor

Cute Web Phone Number Scraper is one of the best data collection tools out there for businesses that depend on gathering phone numbers of customers and businesses. The Phone Number Scraper collects the phone numbers database in real-time and analyzes it instantly to help users complete tasks right then and there. The Mobile Number Extractor has the ability to find and scrape phone numbers by person/business name, country code, mobile company code, or website URL.

4. Cute Web Email Extractor

It is a very high-end email scraping tool that provides millions of emails for email marketing. Email Scraper Software is built for both programmers and non-programmers.

You can scrape emails from website URLs and you can find emails by name also. You can find and collect personal email databases, professional email databases, an employee’s email database, business email database by using this email grabber. The email hunter is extremely easy to use because it requires zero coding to use it.

5. Top Lead Extractor

Top Lead Extractor offers two different kinds of web scrapers. You can use it as an email scraper and a phone number scraper. It is the best email and phone number finder software for those who want to collect data from email marketing, SMS marketing, mobile marketing, and telemarketing campaigns. Like all other tools, it requires no coding to use it and provides you data in CSV, Excel, or Text file formats.

#web-scraping-software #data-collection-tools #data-extraction-tools #data-mining-tools #web-scraping-tools