Brodrigues.co receives about 12287 visitors in one month. That could possibly earn $61.44 each month or $2.05 each day. Server of the website is located in the United States. Brodrigues.co main page was reached and loaded in 0.48 seconds. This is a good result. Try the services listed at the bottom of the page to search for available improvements.
Is brodrigues.co legit? | |
Website Value | $1106 |
Alexa Rank | 614202 |
Monthly Visits | 12287 |
Daily Visits | 410 |
Monthly Earnings | $61.44 |
Daily Earnings | $2.05 |
Country: United States
Metropolitan Area: North Bergen
Postal Reference Code: 07047
Latitude: 40.793
Longitude: -74.0247
HTML Tag | Content | Informative? |
---|---|---|
Title: | Econometrics and Free | Could be improved |
Description: | A blog about econometrics, free software, and | Could be improved |
H1: | Welcome | Is it informative enough? |
H3: | 2019 | Is it informative enough? |
Results will appear here |
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Website on this IP by Bing - All sites on the same 104.248.120.187 IP
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Title |
Looking into 19th century ads from a Luxembourguish newspaper with R - Econometrics and Free Software |
Description |
A blog about econometrics, free software, and R |
H1 |
Looking into 19th century ads from a Luxembourguish newspaper with R |
/blog/2018-12-30-reticulate/: | |
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Title |
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Description |
A blog about econometrics, free software, and R |
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/blog/2018-12-27-fun_gganimate/: | |
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Title |
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Description |
A blog about econometrics, free software, and R |
H1 |
Some fun with {gganimate} |
H2 |
WIID data |
H3 |
Update |
/blog/2018-12-24-modern_objects/: | |
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Title |
Objects types and some useful R functions for beginners - Econometrics and Free Software |
Description |
A blog about econometrics, free software, and R |
H1 |
Objects types and some useful R functions for beginners |
H2 |
Objects, types and useful R functions to get started |
H3 |
The numeric cl [censored]
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/blog/2018-12-21-tidyverse_pi/: | |
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Title |
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Description |
A blog about econometrics, free software, and R |
H1 |
Using the tidyverse for more than data manipulation: estimating pi with Monte Carlo methods |
H2 |
Going beyond descriptive statistics and data manipulation |
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