This article is not about any futuristic "Iron Man style dashboard/data visualization product" where you are combing through holographic cubic chunks from your ultra fast Big Data pipeline.
From time to time I keep pondering on what could be the fu…
From time to time I keep pondering on what could be the fu…
Guest blog post by SupStat
Contributed by Sharan Duggal. You can find the original article here.
Introduction
We know that war and civil unrest account for a significant proportion of deaths every year, but how much can mortality rates be attribu…
Contributed by Sharan Duggal. You can find the original article here.
Introduction
We know that war and civil unrest account for a significant proportion of deaths every year, but how much can mortality rates be attribu…
Originally posted on Data Science Central
“I keep saying that the sexy job in the next 10 years will be statisticians, and I’m not kidding”.
Hal Varian, Chief Economist at Google and emeritus professor at the University of California, better known…
“I keep saying that the sexy job in the next 10 years will be statisticians, and I’m not kidding”.
Hal Varian, Chief Economist at Google and emeritus professor at the University of California, better known…
Guest blog post by Kevin Smith
I teach AP Statistics in China at an International school and I believe it's important to not only show my students how to do plots and inferential statistics on their TI Nspire calculators, but also in R using ggplot,…
I teach AP Statistics in China at an International school and I believe it's important to not only show my students how to do plots and inferential statistics on their TI Nspire calculators, but also in R using ggplot,…
Guest blog post by Sigrid Keydana
R for SQListas, what's that about?
This is the 2-part blog version of a talk I've given at DOAG Conference this week. I've also uploaded the slides (no ppt; just pretty R presentation ;-) ) to the articles section,…
R for SQListas, what's that about?
This is the 2-part blog version of a talk I've given at DOAG Conference this week. I've also uploaded the slides (no ppt; just pretty R presentation ;-) ) to the articles section,…
Originally posted on Data Science Central
This article on data visualization tools was written by Jessica Davis. She's passionate about the practical use of business intelligence, predictive analytics, and big data for smarter business and a better…
This article on data visualization tools was written by Jessica Davis. She's passionate about the practical use of business intelligence, predictive analytics, and big data for smarter business and a better…
Originally posted on Data Science Central
This infographic on Shopper Marketing was created by Steve Hashman and his team. Steve is Director at Exponential Solutions (The CUBE) Marketing.
Shopper marketing focuses on the customer in and at the poin…
This infographic on Shopper Marketing was created by Steve Hashman and his team. Steve is Director at Exponential Solutions (The CUBE) Marketing.
Shopper marketing focuses on the customer in and at the poin…
Originally posted on Data Science Central
Do you want to learn the history of data visualization? Or do you want to learn how to create more engaging visualizations and see some examples? It’s easy to feel overwhelmed with the amount of information…
Do you want to learn the history of data visualization? Or do you want to learn how to create more engaging visualizations and see some examples? It’s easy to feel overwhelmed with the amount of information…
Originally posted on Data Science Central
This infographic on Shopper Marketing was created by Steve Hashman and his team. Steve is Director at Exponential Solutions (The CUBE) Marketing.
Shopper marketing focuses on the customer in and at the poin…
This infographic on Shopper Marketing was created by Steve Hashman and his team. Steve is Director at Exponential Solutions (The CUBE) Marketing.
Shopper marketing focuses on the customer in and at the poin…
Guest blog post by Rick Riddle
It can be tempting to lump all the people who’ve spent more of their life with social media as one large group with largely the same interests and aims. Indeed, that is what you will find many marketing firms doing. Th…
It can be tempting to lump all the people who’ve spent more of their life with social media as one large group with largely the same interests and aims. Indeed, that is what you will find many marketing firms doing. Th…
Originally posted on Data Science Central
This infographic came from Medigo. It displays data from the World Health Organization’s “Projections of mortality and causes of death, 2015 and 2030”. The report details all deaths in 2015 by cause and make…
This infographic came from Medigo. It displays data from the World Health Organization’s “Projections of mortality and causes of death, 2015 and 2030”. The report details all deaths in 2015 by cause and make…
Guest blog post by Vimal Natarajan
Introduction
The City and County of San Francisco had launched an official open data portal called SF OpenData in 2009 as a product of its official open data program, DataSF. The portal contains hundreds of city d…
Introduction
The City and County of San Francisco had launched an official open data portal called SF OpenData in 2009 as a product of its official open data program, DataSF. The portal contains hundreds of city d…
Guest blog post by Dante Munnis
Digging through messy data and doing numerous calculations just so you can submit a report or arrive at the result of your quarterly business development can sometimes be nigh impossible. After all, we are only human…
Digging through messy data and doing numerous calculations just so you can submit a report or arrive at the result of your quarterly business development can sometimes be nigh impossible. After all, we are only human…
Originally posted on Analytic Bridge
In Tableau, there are several data types that are supported. For example, you may have text values, date values, numerical values, and more. Each of the data types can take on different roles that dictate their b…
In Tableau, there are several data types that are supported. For example, you may have text values, date values, numerical values, and more. Each of the data types can take on different roles that dictate their b…
Originally posted on Data Science Central
Things, not Strings Entity-centric views on enterprise information and all kinds of data sources provide means to get a more meaningful picture about all sorts of business objects. This method of information…
Things, not Strings Entity-centric views on enterprise information and all kinds of data sources provide means to get a more meaningful picture about all sorts of business objects. This method of information…
Originally posted on Data Science Central
This article on going deeper into regression analysis with assumptions, plots & solutions, was posted by Manish Saraswat. Manish who works in marketing and Data Science at Analytics Vidhya believes that educ…
This article on going deeper into regression analysis with assumptions, plots & solutions, was posted by Manish Saraswat. Manish who works in marketing and Data Science at Analytics Vidhya believes that educ…
