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I quite like Google’s monthly email on account activity. It is the Google way to offer free services, as well as treat users as special, that continues to command loyalty despite occasional exasperation with corporate thingies.
See this dashboard-
The medium range font shows persons sent/from statistics, and the color shades are done to empahsize or de-emphasize the metric
Colors used are black/grey, green and blue coincident with the Corporate Logo.
However some of the JS for visualizations need to be tweaked. Clearly the hover script ( an integral part of Dashboard design ) needs better elucidiation or formatting)
I would also venture my neck and suggest that rather than just monthly snapshots, atleast some way of comparing snapshots across periods or even the total time period be enabled- rather than be in seperate views. This may give the user a bit more analytical value.
Overall, a nice and simple dashboard which may be of some use to the business user who makes or views a lot of reports on online properties. Minimal and effective- and in keeping with Open Data- Data Liberation Principles. I guess Google is secure in the knowledge that users do not view time spent on Google services as a total waste , unlike some of the other more social websites they spend time on.
Due to changes in Google APIs my earlier post on using Google Analytics in R is deprecated. Unfortunately it is still on top 10 results for Google results for Using Google Analytics with R.
That post is here http://decisionstats.com/2012/03/20/using-google-analytics-with-r/
A more updated R package on Google Analytics and R is here . https://github.com/skardhamar/rga
A better updated post on an easy to use tutorial on using Google Analytics with R using OAuth 2 playground is here.
- Set the Google analytics query parameters for preparing the request URI
- Get the access token from Oauth 2.0 Playground
- Retrieve and select the Profile
- Retrieving GA data
Note it is excellent for learning to use RJSON method as well. You can see the details on the Tatvic blog above.
Hat tip- Vignesh Prajapati
- (not provided): Using R and the Google Analytics API (r-bloggers.com)
So I tried to move without a search engine , and only social sharing, but for a small blog like mine, that means almost 75% of traffic comes via search engines.
Maybe the ratio of traffic from search to social will change in the future,
I have now enough data to conclude search is the ONLY statistically significant driver of traffic ( for a small blog)
If you are a blogger you should definitely try and give the tools at Google Webmaster a go,
URL Googlebot type Fetch Status Fetch date
http://decisionstats.com/ Web Denied by robots.txt 1/19/12 8:25 PM
http://decisionstats.com/ Web Success URL and linked pages submitted to index 12/27/11 9:55 PM
Also from Google Analytics, I see that denying search traffic doesnot increase direct/ referral traffic in any meaningful way.
So my hypothesis that some direct traffic was mis-counted as search traffic due to Chrome, toolbar search – well the hypothesis was wrong
Also Google seems to drop url quite quickly (within 18 hours) and I will test the rebound in SERPs in a few hours. I was using meta tags, blocked using robots.txt, and removal via webmasters ( a combination of the three may have helped)
To my surprise search traffic declined to 5-10, but it did not become 0. I wonder why that happens (I even got a few Google queries per day) and I was blocking the “/” fron robots.txt.
Net Net- The numbers below show- as of now , in a non SOPA, non Social world, Search Engines remain the webmasters only true friend (till they come up with another panda or whatever update )
I just used the really handy tools at
, clicked Remove URL
and submitted http://www.decisionstats.com
and I also modified my robots.txt file to
Just to make sure- I added the meta tag to each right margin of my blog
“<meta name=”robots” content=”noindex”>”
Now for last six months of 2011 as per Analytics, search engines were really generous to me- Giving almost 170 K page views,
Source Visits Pages/Visit
1. google 58,788 2.14
2. (direct) 10,832 2.24
3. linkedin.com 2,038 2.50
4. google.com 1,823 2.15
5. bing 1,007 2.04
6. reddit.com 749 1.93
7. yahoo 740 2.25
8. google.co.in 576 2.13
9. search 572 2.07
I do like to experiment though, and I wonder if search engines just -
1) Make people lazy to bookmark or type the whole website name in Chrome/Opera toolbars
2) Help disguise sources of traffic by encrypted search terms
3) Help disguise corporate traffic watchers and aggregators
So I am giving all spiders a leave for Q1 2012. I am interested in seeing impact of this on my traffic , and I suspect that the curves would not be as linear as I think.
Is search engine optimization over rated? Let the data decide….
I am also interested in seeing how social sharing can impact traffic in the absence of search engine interaction effects- and whether it is possible to retain a bigger chunk of traffic by reducing SEO efforts and increasing social efforts!
I saw a posting for career with Revolution Analytics. Now I am probably on the wrong side of a H1 visa and the C,R skill-o-meter, but these look great for any aspiring R coder. Includes one free lance opp as well.
We have many opportunities opening up—among them:
|Pre-sales Consultants / Technical Sales||Palo Alto, CA|
|Parallel Computing Developer||Palo Alto, CA or Seattle, WA|
|R Programmer (Freelance)||Palo Alto, CA|
|Software Training Course Developer (Freelance)||Palo Alto, CA|
|Build / Release Engineer||Seattle, WA|
|QA Engineer||Seattle, WA|
|Technical Writer||Seattle, WA|
Please send your resume to email@example.com
Searching for “R” jobs and not just , R jobs, gives better results in search engines and job sites. It is still a tough keyword to search but it is getting better.
You can use this RSS feed http://www.indeed.co.in/rss?q=%22R%22++analytics+jobs or send by email option to get alerts
I Crunch Data has a good number of Analytics Jobs, and again using the keyword as R within quotes of “R” you can see lots of jobs here
There used to be a Google Group on R jobs, but is too low volume compared to the actual number of R jobs out there.
Note the big demand is for analytics, and knowing more than one platform helps you in the job search than knowing just a single language.