Auto Added by WPeMatico

Data Visualization and Web Reporting with Angular

Lately, I’ve found a problem. I was looking for fully customizable web components, which would be easy to integrate with and can serve as embedded BI tools for analyzing, reporting and visualization in my application.I’m using Angular so as a result, it is harder to find the solutions compatible with it. I think I’m not the one who faced such problem so let me share my experience.Being an Angular user, I’d also like to…

Continue Reading

Pivot Table: Core Concepts & Web Solutions

A pivot table is a fundamental technique when it comes to data processing and visualization. Undoubtedly, it’s a must-have tool for financial and marketing analysts, startup founders, and experienced entrepreneurs.So today I’ll try covering the main aspects of using pivot tables and illustrate their practical importance with a real-situation example. Additionally, I’ll share with you some online tools which may come in handy for performing analytics.Let’s start with 4 main objectives to use a…

Continue Reading

Artificial Intelligence in Healthcare: Major Opportunities and Challenges

Source: pixabay.comScientists consider that AI will revolutionize our world exactly the way electricity did a century ago. The integration of AI technology in Medical and Healthcare is a major leap forward. Although Healthcare and Medical AI will add extensively to the development and emergence of swift possibilities, it also faces certain challenges. Dexascan is considered to be one of the leading organizations that faced numerous challenges in healthcare Body Fat, Muscle & Bone Health…

Continue Reading

The Two Americas

On April 9th 2018, the FBI conducted a “no-knock” raid on the office, hotel room, and home of Michael Cohen, President Trump’s personal…Continue reading on Medium » "The Two Americas" Posted first on " Data Science on Medium " Author: Anirudh Kulkarni

Continue Reading

UK schools analysis with agglomerative clustering

This weekend I wanted to learn a little bit more about Plotly Dash. I wanted to build something quickly with the idea of using real-world…Continue reading on If you torture the data long enough, it will confess. » "UK schools analysis with agglomerative clustering" Posted first on " Data Science on Medium " Author: Davide Palmisano

Continue Reading

Factfulness Podcast

Patrick Collison is right to say that we get succinct summaries of non fiction books through podcasts, twitter threads and discussion…Continue reading on Medium » "Factfulness Podcast" Posted first on " Data Science on Medium " Author: Ismail Ali Manik

Continue Reading

What plot ? Why this plot and why not!

So here I am , after one year since my last post. Various things have happened but one thing which has been constant is this question “ Hey , Which plot should i use ? “ This is one particular question i receive from my student’s and also find misuse of plot’s while reviewing the project’s for Udacity.So today , I’ll be covering few common mistakes during plotting of plots.As a data analyst / scientist it is very decisive to…

Continue Reading

¡Cómo sobrevivir a su entrevista de Ciencia De Datos!

Las entrevistas dan miedo. Te sientas frente a alguien que tiene el poder de otorgarte ingresos y medidas de seguridad. Ellos tienen tu futuro en sus manos. Tienes que hacer que te gusten, confiar en ti mismo, pensar que eres inteligente. Hay menos situaciones en la vida que induzcan mayor ansiedad. Afortunadamente, hay algunas cosas que puede hacer para que sea un poco más amable, por supuesto.Preparándose para la entrevistaHay muchas cosas maravillosas sobre…

Continue Reading

Humanizing Data — Part II (Charts)

In Part I, we dove into tables. Charts, however, are a lot more graphical and can help make data clearer (and if done wrong, sometimes worse). Here are some tips for creating friendlier (bar) charts:Add horizontal lines. Adding horizontal lines onto the chart makes it more 3D-like and real. This makes the data more tangible and easier to connect with. (Also, makes it easier to decipher the values on the chart.)Put values on the bars. With…

Continue Reading

Humanizing Data — Part I (Tables)

By now we are pretty much used to data being everywhere (and expect such). Data should be presented with care, not only for people who find data overwhelming but to generally maximize its benefits as well.I used to think that data is data. Data everywhere looks and feels the same. Not so. Here are some simple ways to humanize your data:Don’t Forget About TablesYes, tables. They are perhaps the most primitive form (don’t worry-not endangered) of data…

Continue Reading

Reverse Geocoding Part 2 — Using Google Maps API with R

In the previous article, I talked about how to find address information from Geocodes (longitude and latitude) using GeoJSON with R and Exploratory.Reverse Geocoding Part 1 — Using Boundary Data with GeoJSONBut as I mentioned, there are a couple of limitations with that approach. For example, it didn’t get the right address information when the locations happened to be outside of the areas that are defined in the GeoJSON file.Also, it failed to get the…

Continue Reading

My experience attending a Bootcamp in Data Analytics in Austin, Texas

The term Bootcamp is typically heard in Military training where it prepares recruits for all elements of service: physical, mental and emotional. Training given in such a bootcamp is an intense experience. The purpose of this training isn’t to “break” recruits. In fact, the combination of physical training, field exercises and classroom time makes individuals strong and capable. It’s a tough process, but a rewarding one that many service members value for life.As the world…

Continue Reading

Exploring Data From MTA Turnstiles

Laying the groundwork for preventative maintenance of turnstilesSystem map from 1948Over 1 billion people go through the turnstiles on New Yorks Subway every year. With this many people going through the turnstiles, they are bound to break every now and then. Broken turnstiles can cause congestion in stations and ultimately leave riders unsatisfied. If we can identify causes for these turnstiles to break, we can predict when any given turnstile might break. With that kind…

Continue Reading

A DataViz-ard’s Grimoire

The Guide to Enchanting VisualizationsMy obsession with Data Visualization began when I happened to stumble across an enchantingly beautiful website called Visualization Universe during one of my usual aimless web-surfing sessions. I was pretty much hooked to DataViz as soon as a wonderful professor introduced me to the ggplot2 package in R and eventually to Tableau. I decided DataViz was my the Love of my Life when I discovered that D3.js exists.I hope to sustain…

Continue Reading

Basic Data Analysis on Twitter with Python

After creating the Free Wtr bot using Tweepy and Python and this code, I wanted a way to see how Twitter users are perceiving the bot, what their sentiment was. So I created a simple data analysis program that takes a given amount of tweets analyzes them and displays the data in a scatter plot.SetupI had to install a few packages to create this: Tweepy, Tkinter, Textblob and matplotlib. You can install each of these…

Continue Reading

Let’s Make a Bulbasaur: Data Visualization with Vue

I have always wanted my own Bulbasaur. If you’re not familiar with Pokemon, Bulbasaur is one of the first creatures you encounter. They’re adorable and make great companions. I’d like to make one with javascript, if you’d like to join me.This is Bulbasaur and Vue, two great things we’ll learn about todayBefore moving on, you should also know that we’ll be using Vue, a javascript framework for making user interfaces. Furthermore, this will be an exercise…

Continue Reading
  • 1
  • 2
Close Menu
Skip to toolbar