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The article explains the algorithm behind the recently introduced Python package named PyHard,…

As the market gets more competitive with time, businesses are altering their strategies to sustain and cater to changing customer needs better. The present era customers have smartened up considerably! They know what they want, and luring them with glitzy ads and lofty marketing…

What literacy was for the past century is what data literacy is for the twenty-first century. Most employers now prefer people with demonstrated data abilities over those with higher education, even data science degrees. According to the report, only 21% of businesses in the United States consider a degree when hiring for any position, compared to 64%…

Ignaz Philipp Semmelweis (1818-1865) was a Hungarian physician and scientist, now known as an early pioneer of antiseptic procedures.

Described as the "saviour of mothers", at 1846 Semmelweis discovered that the incidence of puerperal fever could be drastically cut by the use of hand disinfection in obstetrical clinics (this fever was…

Nowadays, businesses have to rely on data in unprecedented ways. In fact, businesses hailing from various disciplines use massive amounts of data on a daily basis. They gather data from several sources, offline and online. However, it is also important to compile and process that data and analyze it using apt software solutions. That is why Data…

The development of business intelligence

Like many technologies, business intelligence models are also evolving. From the early days when BI was limited to excel worksheets, data was mainly stored on paper. Today, BI platforms have evolved so much that they define the course of action for organizations with new and novel approaches to improving efficiency in production, delivering sales and service experience to customers. In addition, knowing where our customers are,…

In this post, we will be visualizing survey data for the top survey question types. I’m Tyler Lubben, founder of VizualSurvey, a survey data cleaning tool that cleans your survey data from any survey software so you can visualize it in any of our Tableau, Power BI, Spotfire or Qlik Sense prebuilt dashboard templates. Let’s go ahead and start!

Lets start off with an…

The term ‘data visualization’ was coined a couple of years ago. But storytelling finds its roots in the earliest of times. Using characters, events, event sequences, locations, time periods, emotions, numbers, etc., storytelling has always fascinated the humankind.

Today, data visualization narrates events, causes & consequences…

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Ever wondered how most of the fastest-growing jobs in the tech sector today were not even existing a few years ago. It is surveyed that the employees are worried about the skill gap, which is restricting them from shifting to companies which offer better skill development initiative.…

This month, Panoply is running an Instagram Data Challenge! The gist is, you can pull your own Instagram data into a Panoply database with a few clicks, make a visualization or tell a data story with the data about your own posts, and enter to win one of several $1000 awards.

To kick off the challenge, I did a bit of exploration…

For most businesses, machine learning seems close to rocket science, appearing expensive and talent demanding. And, if you’re aiming at building another Netflix recommendation system, it really is. But the trend of making everything-as-a-service has affected this sophisticated sphere, too. You can jump-start an ML initiative without much investment, which would be the right move if you are new to data science and just want to grab the low hanging fruit.

One of ML's…

The insurance industry – one of the least digitalized – is not surprisingly one of the most ineffective segments of the financial services industry. Internal business processes are often duplicated, bureaucratized, and time-consuming. As the ubiquity of machine learning and artificial intelligence systems increases, they have the potential to automate operations in insurance companies thereby cutting costs and increasing productivity. However, organizations have plenty of reasons to resist…

The best trained soldiers can’t fulfill their mission empty-handed. Data scientists have their own weapons — machine learning (ML) software. There is already a cornucopia of articles listing reliable machine learning tools with in-depth descriptions of their functionality. Our goal, however, was to get the feedback of industry experts.

And that’s why we interviewed data science practitioners — gurus, really —regarding the useful tools they…

Appropriate data, audience understanding & building a good story for meaningful & powerful visual dashboards that influence & engage the audience for actionable insights; is the key. Here is an infographic is about storytelling with visualization:

Data Analytics remains incomplete without data visualization.

In a Data Analytics course, I understood how Tableau was a useful tool so as to create and explain a visual story that heavily relied on big data. As a student, I was given x-cases which required data retrieval, cleaning, manipulation, and analysis so as to make appropriate recommendations.

To start with, I have a double major in finance and international…

Introduction to OEMs

The increasing complexity of smart products, more demanding users, and stiff competition are driving the focus of electronics OEMs (original equipment manufacturers) on product quality and productivity. These companies are struggling to improve their operations to increase their production yield, operational efficiency, and product quality. This has been driving demand for  Data Visualization & Analytics solutions over the past few years and as part of their…

Dashboards for data visualization, such as Tableau or R Shiny, enable an interactive exploration of data in the form of plots or tables, through a programming-free interface with drop-down lists and checkboxes. The apps can be useful for both the data analyst and the public.

Visualization apps may be privately consulted as well as published online. There are two main platforms: R Shiny and Tableau. Shiny has a free starter license…

This is a tutorial to show how to implement dashboards in R, using the new "flexdashboard" library package.

this new library leverages these libraries and allows us to create some stunning dashboards, using interactive graphs and text. What I loved the most, was the “storyboard” feature that allows me to present content in Tableau-style frames. Please note that for this you need to create RMarkdown (.Rmd) files and insert the code using the…