Tag: Application programming interface

Writing on APIs for Programmable Web

I have been writing free lance on APIs for Programmable Web. Here is an updated list of the articles, many of these would be of interest to analytics users. Note- some of these are interviews and they are in bold. Note to regular readers: I keep updating this list , and at each updation bring it to the front page, then allowing the blog postings to slide it down!

Scoreoid Aims to Gamify the World Using APIs January 27th, 2014

Plot.ly’s Plot to Visualize More Data January 22nd, 2014

LumenData’s Acquisition of Algorithms.io is a Win-Win January 8th, 2014

Yactraq API Sees Huge Growth in 2013  January 6th, 2014

Scrape.it Describes a Better Way to Extract Data December 20th, 2013

Exclusive Interview: App Store Analytics API December 4th, 2013

APIs Enter 3d Printing Industry November 29th, 2013

PW Interview: José Luis Martinez of Textalytics November 6th, 2013

PW Interview Simon Chan PredictionIO November 5th, 2013

PW Interview: Scott Gimpel Founder and CEO FantasyData.com October 23rd, 2013

PW Interview Brandon Levy, cofounder and CEO of Stitch Labs October 8th, 2013

PW Interview: Jolo Balbin Co-Founder Text Teaser  September 18th, 2013

PW Interview:Bob Bickel CoFounder Redline13 July 29th, 2013

PW Interview : Brandon Wirtz CTO Stremor.com   July 4th, 2013

PW Interview: Andy Bartley, CEO Algorithms.io  June 4th, 2013

PW Interview: Francisco J Martin, CEO BigML.com 2013/05/30

PW Interview: Tal Rotbart Founder- CTO, SpringSense 2013/05/28

PW Interview: Jeh Daruwala CEO Yactraq API, Behavorial Targeting for videos 2013/05/13

PW Interview: Michael Schonfeld of Dwolla API on Innovation Meeting the Payment Web  2013/05/02

PW Interview: Stephen Balaban of Lamda Labs on the Face Recognition API  2013/04/29

PW Interview: Amber Feng, Stripe API, The Payment Web 2013/04/24

PW Interview: Greg Lamp and Austin Ogilvie of Yhat on Shipping Predictive Models via API   2013/04/22

Google Mirror API documentation is open for developers   2013/04/18

PW Interview: Ricky Robinett, Ordr.in API, Ordering Food meets API    2013/04/16

PW Interview: Jacob Perkins, Text Processing API, NLP meets API   2013/04/10

Amazon EC2 On Demand Windows Instances -Prices reduced by 20%  2013/04/08

Amazon S3 API Requests prices slashed by half  2013/04/02

PW Interview: Stuart Battersby, Chatterbox API, Machine Learning meets Social 2013/04/02

PW Interview: Karthik Ram, rOpenSci, Wrapping all science APIs 2013/03/20

Viralheat Human Intent API- To buy or not to buy 2013/03/13

Interview Tammer Kamel CEO and Founder Quandl 2013/03/07

YHatHQ API: Calling Hosted Statistical Models 2013/03/04

Quandl API: A Wikipedia for Numerical Data 2013/02/25

Amazon Redshift API is out of limited preview and available! 2013/02/18

Windows Azure Media Services REST API 2013/02/14

Data Science Toolkit Wraps Many Data Services in One API 2013/02/11

Diving into Codeacademy’s API Lessons 2013/01/31

Google APIs finetuning Cloud Storage JSON API 2013/01/29

2012
Ergast API Puts Car Racing Fans in the Driver’s Seat 2012/12/05
Springer APIs- Fostering Innovation via API Contests 2012/11/20
Statistically programming the web – Shiny,HttR and RevoDeploy API 2012/11/19
Google Cloud SQL API- Bigger ,Faster and now Free 2012/11/12
A Look at the Web’s Most Popular API -Google Maps API 2012/10/09
Cloud Storage APIs for the next generation Enterprise 2012/09/26
Last.fm API: Sultan of Musical APIs 2012/09/12
Socrata Data API: Keeping Government Open 2012/08/29
BigML API Gets Bigger 2012/08/22
Bing APIs: the Empire Strikes Back 2012/08/15
Google Cloud SQL: Relational Database on the Cloud 2012/08/13
Google BigQuery API Makes Big Data Analytics Easy 2012/08/05
Your Store in The Cloud -Google Cloud Storage API 2012/08/01
Predict the future with Google Prediction API 2012/07/30
The Romney vs Obama API 2012/07/27
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Using R for Cricket Analysis #rstats

ESPN Crincinfo is the best site for cricket data (you can see an earlier detailed post on the database  here https://decisionstats.com/2012/04/07/cricinfo-statsguru-database-for-statistical-and-graphical-analysis/  ), and using the XML package in R we can easily scrape and manipulate data

Here is the code.

library(XML)
url="http://stats.espncricinfo.com/ci/engine/stats/index.html?class=1;team=6;template=results;type=batting"
#Note I can also break the url string and use paste command to modify this url with parameters
tables=readHTMLTable(url)
tables$"Overall figures"

#Now see this- since I only got 50 results in each page, I look at the url of next page

table1=tables$"Overall figures"
url="http://stats.espncricinfo.com/ci/engine/stats/index.html?class=1;page=2;team=6;template=results;type=batting"
tables=readHTMLTable(url)
table2=tables$"Overall figures"

#Now I need to join these two tables vertically

table3=rbind(table1,table2)

Note-I can also automate the web scraping .
Now the data is within R, we can use something like Deducer to visualize.
Created by Pretty R at inside-R.org

R in Oracle Java Cloud and Existing R – Java Integration #rstats

So I finally got my test plan accepted for a 1 month trial to the Oracle Public Cloud at https://cloud.oracle.com/ .

oc1 I am testing this for my next book R for Cloud Computing ( I have already covered Windows Azure, Amazon AWS, and in the middle of testing Google Compute).

Some initial thoughts- this Java cloud seemed more suitable for web apps, than for data science ( but I have to spend much more time on this).

I really liked the help and documentation and tutorials, Oracle has invested a lot in it to make it friendly to enterprise users.

Hopefully the Oracle R Enterprise  ORE guys can talk to the Oracle Cloud department and get some common use case projects going.

oc3.7

In the meantime, I did a roundup on all R -Java projects.

They include- Continue reading “R in Oracle Java Cloud and Existing R – Java Integration #rstats”

Google Analytics using #Rstats – Updated

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 https://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.

http://www.tatvic.com/blog/ga-data-extraction-in-r/

  1. Set the Google analytics query parameters for preparing the request URI
  2. Get the access token from Oauth 2.0 Playground
  3. Retrieve and select the Profile
  4. 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

 

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httR by Hadley #rstats

The awesome Hadley Wickham has just released the next version of httr package. Prof Hadley is currently on leave from Rice Univ and working with the tremendous geeks at R Studio . New things in the httr package-

 

http://blog.rstudio.org/2012/10/14/httr-0-2/

httr, a package designed to make it easy to work with web APIs. Httr is a wrapper around RCurl, and provides:

  • functions for the most important http verbs: GET, HEAD, PATCH, PUT, DELETE and POST.
  • support for OAuth 1.0 and 2.0. Use oauth1.0_token and oauth2.0_token to get user tokens, and sign_oauth1.0 and sign_oauth2.0to sign requests. The demos directory has six demos of using OAuth: three for 1.0 (linkedin, twitter and vimeo) and three for 2.0 (facebook, github, google).

I especially like the OAuth functionality as I occasionaly got flummoxed with existing R OAuth packages , and this should hopefully lead to awesome new social media analytics posts by the larger R blogger community. Also given the fact that unauthenticated API requests to Twitter are greatly expanded by OAuth authenticated requests- (see https://dev.twitter.com/docs/rate-limiting )

  • Unauthenticated calls are permitted 150 requests per hour. Unauthenticated calls are measured against the public facing IP of the server or device making the request.
  • OAuth calls are permitted 350 requests per hour and are measured against the oauth_token used in the request.

 

some creative use cases should see an incredible amount of cross social media analysis (not just one social media channel ) at a time.

R for Social Media Analytics ? Watch this space.. 😉

 

 

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Google releases V1.2 of Google Prediction API

Diagram showing overview of cloud computing in...
Image via Wikipedia

To join the preview group, go to the APIs Console and click the Prediction API slider to “ON,” and then sign up for a Google Storage account.

For the past several months, I have been member of a semi-public beta test/group/forum – that is headed by Travis Green of the Google Prediction API Team (not the hockey player). Basically in helping the Google guys more feedback on the feature list for model building via cloud computing. I couldn’t talk about it much , because it was all NDA hush hush.

Anyways- as of today the version 1.2 of Google Prediction API has been launched. What does this do to the ordinary Joe Modeler? Well it helps gives your models -thats right your plain vanilla logistic regression,arima, arimax, models an added ensemble option of using Google’s Machine Learning Continue reading “Google releases V1.2 of Google Prediction API”

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