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4mos agoRelease 8 0 0

Registrar Creation Date Server IP Registrant Email NameCheap, Inc. 1995-05-03 04:00:00 172.66.43.71 abuse@namecheap.com

Language:
en-US
Collection time:
2024-12-19
Attention Required! | CloudflareAttention Required! | Cloudflare
Attention Required! | Cloudflare
Registrar Creation Date Server IP Registrant Email
NameCheap, Inc. 1995-05-03 04:00:00 172.66.43.71 abuse@namecheap.com
Attention Required! | Cloudflare

Ranking

Global Rank
#202406
Worldwide
Country Rank
#63998
United States
Category Rank
#126
Science_and_Education/Math

Visits Over Time

  • All Traffic
Bounce Rate
60.11%
Pages per Visit
2.17
Monthly Visits
251.445 K
Avg. Visit Duration
00:01:36

Top Keywords

  • Worldwide
  • Desktop Only
Keyword
Traffic
Volume
r-squared in linear regression
1.85 K
0.00
--
nctm professional development
865.00
0.00
--
nctm
2.64 K
6.36 K
4.779137
coefficient of determination r squared
862.00
80.00
--
ccss m
1.14 K
60.00
--

Geography

  • Desktop Only
Top 5 Countries
Country
United States
67.07%
Philippines
1.96%
United Kingdom
1.88%
Canada
5.04%
Australia
3.65%

Traffic Sources

  • Worldwide
  • Desktop Only
Marketing Mix
Source
Search
56.25%
Direct
35.92%
Referrals
6.75%
Social
0.82%
Paid Referrals
0.19%
Mail
0.07%

data statistics

Data evaluation

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Relevant Navigation

hadley

hadley

This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it. In this book, you will find a practicum of skills for data science. Just as a chemist learns how to clean test tubes and stock a lab, you’ll learn how to clean data and draw plots—and many other things besides. These are the skills that allow data science to happen, and here you will find the best practices for doing each of these things with R. You’ll learn how to use the grammar of graphics, literate programming, and reproducible research to save time. You’ll also learn how to manage cognitive resources to facilitate discoveries when wrangling, visualising, and exploring data.

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