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Mab Alam
  • Washington, DC
  • United States
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Mab Alam's Page

Latest Activity

Mab Alam replied to Ilan Perez's discussion Insight in data
"The weights distribution (0.8, 0.5 etc.) seems arbitrary. Should work better if distributed proportionately (and all totaling 100%)."
Oct 8
Mab Alam liked Bill Schmarzo's blog post In Big Data, It’s Not the Volume that’s Important, It’s the Granularity
May 13
Mab Alam posted a blog post

Making maps to visualize census data

Visualizing census data could not be easier thanks to few great packages in R. Not that in Python you could not do spatial analysis/visualization of census data, but certainly not as easily as in R because of some tailored rstats packages for this purpose.Kyle Walker developed a package called tidycensus. This package allows for easy access, analysis and visualization of Census Bureau data on hundreds…See More
May 9
Mab Alam's blog post was featured

Making maps to visualize census data

Visualizing census data could not be easier thanks to few great packages in R. Not that in Python you could not do spatial analysis/visualization of census data, but certainly not as easily as in R because of some tailored rstats packages for this purpose.Kyle Walker developed a package called tidycensus. This package allows for easy access, analysis and visualization of Census Bureau data on hundreds…See More
May 9
Mab Alam posted a blog post

Optimizing price, maximizing revenue

Problem statementPrice and quantity sold are the two determinants of business revenue/profit. At higher price the revenue is expected to be high. But this is not the case all the time. We know from our everyday experience, as price of something goes up, people have less tendency to buy it.The reverse is also true, that is, as price is down, sales goes up (think what happens in a block buster sales event in a nearby shopping mall). But sales going up doesn’t always mean that the revenue will…See More
Apr 28
Mab Alam's blog post was featured

Optimizing price, maximizing revenue

Problem statementPrice and quantity sold are the two determinants of business revenue/profit. At higher price the revenue is expected to be high. But this is not the case all the time. We know from our everyday experience, as price of something goes up, people have less tendency to buy it.The reverse is also true, that is, as price is down, sales goes up (think what happens in a block buster sales event in a nearby shopping mall). But sales going up doesn’t always mean that the revenue will…See More
Apr 28

Profile Information

Short Bio
I am a PhD scientist working with data for 12 years; published widely in academic journals; served as a reviewer; data science experience and expertise in areas - econometrics, time series, forecasting, GIS & spatial analytics.
My Web Site Or LinkedIn Profile
http://twitter.com/DataEnthus
Field of Expertise
Data Science, Machine Learning, Business Analytics, BI
Professional Status
Technical
Years of Experience:
12
Your Job Title:
Research Economist
Interests:
Contributing, Networking

Mab Alam's Blog

Making maps to visualize census data

Posted on May 7, 2019 at 6:04pm 0 Comments

Visualizing census data could not be easier thanks to few great packages in R. 

Not that in Python you could not do spatial analysis/visualization of census data, but certainly not as easily as in R because of some tailored rstats packages for this purpose.

Kyle Walker developed a package called tidycensus. This package allows for…

Continue

Optimizing price, maximizing revenue

Posted on April 27, 2019 at 6:47am 0 Comments

Problem statement

Price and quantity sold are the two determinants of business revenue/profit. At higher price the revenue is expected to be high. But this is not the case all the time. We know from our everyday experience, as price of something goes up, people have less tendency to buy it.

The reverse is also true, that is, as price is down, sales goes up (think what happens in a block buster sales event in a nearby shopping…

Continue

New Home Sales Projection: A Time Series Forecasting

Posted on January 25, 2019 at 8:15pm 0 Comments

1. Background

New home construction plays a significant role in housing economy, while simultaneously impacting other sectors such as timber, furniture and home appliances. New house sales is also an important indicator of country’s overall economic health and direction. In the last 50 years there has been few significant bumps and turning points in this sector that shaped the trajectory of the overall economy.  Here I review the…

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Predicting the demise of retail bookstores: a time series forecasting

Posted on December 27, 2018 at 5:00pm 1 Comment

“The internet is killing retail. Bookstores are just the first to go.” -- quoted in this NYT article. Retail bookstores are in a death row; looks like it's just a matter of time for those to be in the museum. eBooks are partly to blame, but with eBook sales leveling off recently, the remaining affect seems to be online book sales, dominated by, with no surpirse!, Amazon. So, exactly how long retail bookstores are going to…

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