dansaber wordpress.com

Regress to Impress Fear, loathing, Data Science

In this blog, a dude named Dan Saber discusses Analytics, Data Science, and Statistics. Its as underwhelming as it sounds.

OVERVIEW

The site dansaber.wordpress.com presently has a traffic classification of zero (the smaller the more users). We have analyzed nine pages within the web site dansaber.wordpress.com and found seven websites referencing dansaber.wordpress.com. We have unearthed three mass network sites acquired by this website.
Pages Parsed
9
Links to this site
7
Social Links
3

DANSABER.WORDPRESS.COM TRAFFIC

The site dansaber.wordpress.com is seeing alternating amounts of traffic all through the year.
Traffic for dansaber.wordpress.com

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Traffic ranking by day of the week for dansaber.wordpress.com

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LINKS TO WEBSITE

WHAT DOES DANSABER.WORDPRESS.COM LOOK LIKE?

Desktop Screenshot of dansaber.wordpress.com Mobile Screenshot of dansaber.wordpress.com Tablet Screenshot of dansaber.wordpress.com

DANSABER.WORDPRESS.COM SERVER

We found that the main root page on dansaber.wordpress.com took one thousand five hundred and seventy-eight milliseconds to download. I detected a SSL certificate, so we consider this site secure.
Load time
1.578 sec
SSL
SECURE
IP
192.0.78.12

BROWSER IMAGE

SERVER SOFTWARE

We discovered that dansaber.wordpress.com is weilding the nginx os.

HTML TITLE

Regress to Impress Fear, loathing, Data Science

DESCRIPTION

In this blog, a dude named Dan Saber discusses Analytics, Data Science, and Statistics. Its as underwhelming as it sounds.

PARSED CONTENT

The site had the following in the homepage, "Fear, loathing, Data Science." I noticed that the web site stated " A Dramatic Tour through Pythons Data Visualization Landscape including ggplot and Altair." They also stated " Why Even Try, Man? I recently came upon Brian Granger and Jake VanderPlass Altair, a promising young visualization library. Altair seems well-suited to addressing Pythons ggplot envy, and its tie-in with JavaScripts Vega-Lite grammar means that as the latter develops new. Analyze Your Experiment with a Multilevel Logistic Regression using PyMC3."

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