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How to Simulate Multiple Samples From a Linear Regression Model

In this blog post, we will learn how to simulate multiple samples efficiently. In order to keep the discussion, easy we have simulated a single sample with ‘n’ number of observations, and ‘p’ amount of variables. But in order to use the Monte Carlo method to approximate the distribution sampling of statistics, one needs to simulate many specimens with the same regression model.

 

How to Simulate Multiple Samples From a Linear Regression Model
How to Simulate Multiple Samples From a Linear Regression Model

 

The data steps in SAS in  most blogs have 4 steps mentioned for so. However, to simulate multiple samples, put DO loop around these steps that will generate, the error term and the response variable for very observation made in the model.

Continue reading “How to Simulate Multiple Samples From a Linear Regression Model”

The Future Is In Our Face! How Facial Recognition Will Change Marketing Innovation

big data facial recognition

Most us are taking a lot of technological marvels around us for granted these days. We have casually taken note of the things like how our smartphones now help us assign photos of people or organize them, or how Facebook usually knows the right people’s faces to tag. However, it has only happened recently, which most people have not realized, that this technology is not so much of a “cool trick” and will actually shape the way people are conducting their business endeavours.

These latest technological developments are already being tested out in several different industries and for a lot of different purposes. Like for instance, security scanners at the airports are now making use of this technology to allow the e-passport holders clear their customs faster. And with the further development in facial recognition technology, the border and customs officers will be able to recognize and weed out travellers with fake passports better.

Moreover, the facial recognition technology is now being implemented in several government facilities and businesses that require a higher level of security clearance. With the use of this technology, security professionals may easily run the real-time criminal searches with the use of CCTV footage.

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Now if you are like us, and constantly purchase things online then you must be aware of the fact that your choice and even your face must be with them in their database as a part of your customer profile. But these days, major retailers in physical stores are using intelligent data and trying to up their game to compete with the shopping sites. This will help them target customers faster and help them provide offers specifically tailored to these people based on their buying preferences just like at online stores.

We have provided Big Data training for Snapdeal, so why not target your customers better with a Big Data certification?

Furthermore, such a technology can also be used to catch shoplifters red handed in the act, a system that Walmart has actually implemented in place in many of its stores

When your face as a customer shows up for the first time on their screens they will start to build a profile of yours, which will be based on your in-store actions. Like for instance, the amount of time one spends in a certain area, the path around the store and items that you choose to buy.

Even the entertainment industry, like theme parks, casinos, etc have already caught up in the use of this technology to not only target marketing activities, but also to keep an eye on suspicious activities. And when it comes to greater applications for facial recognition, like in the industries of banking and fintech we are only just scratching the surface.

Several industry insiders have agreed that facial recognition will allow marketers to effectively know their customers much better, the visitor photos stored may work as the cookies for referencing for identification and for storage of users as well. So, this technology can soon eliminate loyalty cards as an obsolete art.

The moment one walks into a store the staff will already have an idea of what they bought there when visited the store the last time, and thanks to the camera footage with the facial recognition technology, will provide the retailers with an advantage to keep up their pace with ecommerce giants like Amazon, Flipkart, Alibaba etc.

One may also use facial recognition to retarget their customers with several personal offers. Like you decide to buy a certain product at a certain store, but then leave as it is slightly over budget for you. Soon you may find an internet ad or a personal message about a good discount on that product from that retailer offering you a good deal. But for all this to take proper shape, there must be a strong backup strategy, which certainly plays a strong role when it comes to way people collect, use and store data of any kind.

Thus, this will begin a whole new chapter to targeted campaigns be it online or offline or both, through the leveraging of Big Data for even a single customer.

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Big Data Hadoop training from Dexlab Analytics

 

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A robot too close to humans! Story of BINA 48

BINA 48 is the world’s most renowned and highly sought after humanoid robot in America. You can visit her there, by driving down a long winding dirt road just west of the Lincoln Gap in Bristol, Vt. Where sits two large yellow houses on a sprawling property that features ten solar panels and a dock over-looking the sunlit pond filled with trout, a homely porch decorated with rocking chairs.

Advances in Machine Learning and Data Analysis Bina 48

 

In the smaller of the two houses resides BINA 48, who is one of the most sought after humanoid who is based on a real personality – Bina Rothblatt.

Continue reading “A robot too close to humans! Story of BINA 48”

5 Tips for Creating Different Map Styles in Tableau

5 Tips for Creating Different Map Styles in Tableau

Let us not waste any time on reading long-worded introductions, and get right down to our 5 top tips for creating different map styles in Tableau.

You will be able to find out about these tips and a lot more on Tableau with our Tableau training courses.

  1. Removing map layer:

A simple way to create a clean map for best visualization is by removing the map layers. In order to do this, all you need to do is Select Map on the toolbar menu and “map layer”. Then simply click on the uncheck box and everything in the map layer window, this will leave behind only the outline of the map data.

Removing map layer:

Image Source: dataplusscience.com

 

Tableau course details has all these steps and much more to learn about the software, you can know the details by visiting our Tableau training institute website.

  1. Changing the map border colours:

When you use map, you can change the border colours of the map under the option ‘Color’. Simply select the colour and choose the border colour that you desire.

Changing the map border colours:

Image Source: dataplusscience.com

 

  1. Making the USA map outline:

Combining the above mentioned step 1 and 2 and by clicking to remove the fill colour, we can create an outline of a map. To do so, first remove the map layer shown in step 1 and then set the map fill colour to match with the background colour. And voila! After selecting the desirable colour for the borders (as shown in step 2) we now have created just a simple outline of the map of USA!

Making the USA map outline:

Image Source: dataplusscience.com

 

  1. Making a minimalistic map:

To do this in Tableau, you must remove the base layer which is similar as shown in the first step, we can then alter the Pane colour to change the colour of the water on the map to any colour we want. Once we get the base layer to be unchecked, all we have to do is simply right-click on the map and select ‘Format’ then select “Shading” and then alter the “Pane” colour to any shade of our choice.

  1. Creating the countries of the world:

Just like the previously discussed step (step 3) we can start by making the borders of the countries. In this case we have also combined the step 4 where the pane colour has been changed to match. This has given rise to a red coloured outline of the countries of the world on a pitch-black background.

Creating the countries of the world:

Image Source: dataplusscience.com

 

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Black Money in India Can be Traced With Ease by Applying Big Data Analytics

The economy took a hit with the recent demonetization of the INR 500 and 1000 currency notes. The jury of economists around the world are still debating whether the move was good or not, but it has definitely caused a huge inconvenience for the public. Moreover, exchanging such a large amount of old currency notes is nothing shy of a mammoth Herculean task, as almost 85 percent of the economy is in the form of high denomination currency.

Black Money in India Can be Traced With Ease by Applying Big Data Analytics
 Black Money in India Can be Traced With Ease by Applying Big Data Analytics

 

These measures have been taken by the government to curb the flow of Black Money in India and get rid of corruption from its roots. While there is still a mixed reaction from the common people about this move about it being good or bad, technological experts have a different viewpoint about preventing the flow of Black Money in the country.  They say that with use modern technologies like Big Data Analytics it will be possible to trace Black Money painlessly and with much ease.

Continue reading “Black Money in India Can be Traced With Ease by Applying Big Data Analytics”

A Data Analyst’s Guide to Choosing The Right Halloween Costume

There are a handful of decisions that seldom wrap people in mind-boggling conundrum – whether to take the job or not, to get married or not and to choose between Batman and Superman for Halloween costume!

 
A Data Analyst’s Guide to Choosing The Right Halloween Costume
 

For a data analyst, there is an easy way out all we need is a bigger boat and when we say boat, we mean efficient analytical software. Let us dive right into the data of it all and determine which superhero to smart for our Halloween shindig. Continue reading “A Data Analyst’s Guide to Choosing The Right Halloween Costume”

We Are Providing Corporate Trainings To Jones Lang Lasalle Pvt. Ltd.

We are happy to announce that we have recently begun our corporate training sessions for the multinational company Jones Lang LaSalle Pvt. Ltd. on Tableau Business Intelligence.

 
DexLab Analytics has started their Corporate Training sessions on Tableau BI for Jones Lang LaSalle Pvt. Ltd.
 

The company JLL are a professional service where they deal with investment management firm offering specialization in real estate services for clients seeking increase in value by owning, investing and occupying real estate. It is a Fortune 500 company and gathers annual revenue of USD 5.2 billion with gross revenue of USD 6.0 billion. They have more than 280 corporate offices and operate in 80 countries or more, their global work force is of 60,000. The firm provides management and real estate outsourcing services for realty portfolio for its clients. Their portfolios consists of 4.0 billion square feet which is 372 million square meters and have completed USD 138 billion in sales, financial transactions, and acquisitions on 2015.  Continue reading “We Are Providing Corporate Trainings To Jones Lang Lasalle Pvt. Ltd.”

In Justice Numbers Speak Louder Than Words!

In Indian prisons two thirds of the prisoners are under-trials!

 

 

This Monday, the “Prison Statistics India 2015 report” was released by the National Crime Records Bureau (NCRB). And here are the five surprising things that we gathered from the data about the condition of prisons in India.  Continue reading “In Justice Numbers Speak Louder Than Words!”

How are The Tweets of Donald Trump Faring For Him?

We ran sentiment analysis with R

A massive stir in the global political scenario piqued the interests of several data analysts, politicians and global onlookers alike with a revelation made by David Robinson, a data scientist. He recently revealed into the media an analysis of Trump’s tweets, wherein he figured that those that happened from an android device were done by the presidential candidate himself, but those that were done from an iPhone device were done by a campaign staff.

 

How are The Tweets of Donald Trump Faring For Him?

 

While many may not think too deeply about this minor information, the main distinguishing point about this revelation has something to do with sentiments behind the tweets. The android device based tweets from the candidate himself (Trump) use angrier, more negative words but the iPhone-based tweets tended to be more straightforward ones with campaign announcements and hash tag promotions; something that a simple campaigner with digital marketing and clickbaits in mind would do with their docile mannerisms. The news was initially reported by the Scientific American, PC Magazine, and the LA Times. In fact, David Robinson even gave an interview with Time Magazine about his deductions. Continue reading “How are The Tweets of Donald Trump Faring For Him?”

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