Varianceexplained.org receives about 44470 visitors in one month. That could possibly earn $222.35 each month or $7.41 each day. Server of the website is located in the United States. Varianceexplained.org main page was reached and loaded in 0.17 seconds. This is a good result. Try the services listed at the bottom of the page to search for available improvements.
Traffic and Value
| Is varianceexplained.org legit? | |
| Website Value | $4003 |
| Alexa Rank | 399790 |
| Monthly Visits | 44470 |
| Daily Visits | 1483 |
| Monthly Earnings | $222.35 |
| Daily Earnings | $7.41 |
Varianceexplained.org Server Location
Country: United States
Metropolitan Area: Not defined
Postal Reference Code: Not defined
Latitude: 37.751
Longitude: -97.822
Summarized Content
Varianceexplained Main Page Content
| HTML Tag | Content | Informative? |
|---|---|---|
| Title: | Variance | Could be improved |
| Description: | Blog on R, statistics, and | Could be improved |
| H2: | The 'knight on an infinite chessboard' puzzle: efficient simulation in R December 10, 2018 |  |
| H3: | David Robinson | Is it informative enough? |
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Internal Pages
| /posts/: | |
|---|---|
| Title |
All Posts – Variance Explained |
| Description |
A List of Posts |
| H1 |
All Posts |
| H2 |
The 'knight on an infinite chessboard' puzzle: efficient simulation in R December 10, 2018 |
| H3 |
David Robinson |
| /r/empirical-bayes-book/: | |
|---|---|
| Title |
Announcing the release of my e-book: Introduction to Empirical Bayes – Variance Explained |
| Description |
I’m excited to announce the release of my new e-book: Introduction to Empirical Bayes: Examples from Baseball Statistics, available here. |
| H1 |
Announcing the release of my e-book: Introduction to Empirical Bayes |
| H3 |
David Robinson |
| /r/knight-chess/: | |
|---|---|
| Title |
The 'knight on an infinite chessboard' puzzle: efficient simulation in R – Variance Explained |
| Description |
Previously in this series: |
| H1 |
The 'knight on an infinite chessboard' puzzle: efficient simulation in R |
| H3 |
David Robinson |
| /r/tidy-tuesday-college-major/: | |
|---|---|
| Title |
Exploring college major and income: a live data ysis in R – Variance Explained [censored]
|
| Description |
I recently came up with the idea for a series of screencasts: |
| H1 |
Exploring college major and income: a live data ysis in R [censored]
|
| H3 |
David Robinson |
| /r/op-ed-text- [censorship] ysis/: | |
|---|---|
| Title |
Who wrote the anti-Trump New York Times op-ed? Using tidytext to find do ent similarity – Variance Explained [censored]
|
| Description |
Like a lot of people, I was intrigued by “I Am Part of the Resistance Inside the Trump Administration”, an anonymous New York Times op-ed written by a “senior official in the Trump administration”. And like many data scientists, I was curious about what role text mining could play. |
| H1 |
Who wrote the anti-Trump New York Times op-ed? Using tidytext to find do ent similarity [censored]
|
| H3 |
David Robinson |
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