HTTP? httr! (2)

Web content does not limit itself to HTML pages and files stored on remote servers such as DataCamp's Amazon S3 instances. There are many other data formats out there. A very common one is JSON. This format is very often used by so-called Web APIs, interfaces to web servers with which you as a client can communicate to get or store information in more complicated ways.

You'll learn about Web APIs and JSON in the video and exercises that follow, but some experimentation never hurts, does it?

Este ejercicio forma parte del curso

Intermediate Importing Data in R

Instrucciones del ejercicio

Use GET() to get the url that has already been specified in the sample code. Store the response as resp.
Print resp. What is the content-type?
Use content() to get the content of resp. Set the as argument to "text". Simply print out the result. What do you see?
Use content() to get the content of resp, but this time do not specify a second argument. R figures out automatically that you're dealing with a JSON, and converts the JSON to a named R list.

Ejercicio interactivo práctico

Prueba este ejercicio completando el código de muestra.

# httr is already loaded

# Get the url
url <- "http://www.omdbapi.com/?apikey=72bc447a&t=Annie+Hall&y=&plot=short&r=json"


# Print resp


# Print content of resp as text


# Print content of resp

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Este ejercicio forma parte del curso

Intermediate Importing Data in R

IntermedioNivel de habilidad

4.8+

Comienza el curso gratis

Many companies store their information in relational databases. The R community has also developed R packages to get data from these architectures. You'll learn how to connect to a database and how to retrieve data from it.

Exercise 1: Connect to a database Exercise 2: Establish a connection Exercise 3: Inspect the connection Exercise 4: Import table data Exercise 5: List the database tables Exercise 6: Import users Exercise 7: Import all tables Exercise 8: How do the tables relate?

Importing an entire table from a database while you might only need a tiny bit of information seems like a lot of unncessary work. In this chapter, you'll learn about SQL queries, which will help you make things more efficient by performing some computations on the database side.

Exercise 1: SQL Queries from inside R Exercise 2: Query tweater (1)Exercise 3: Query tweater (2)Exercise 4: Query tweater (3)Exercise 5: Query tweater (4)Exercise 6: Join the query madness!Exercise 7: DBI internals Exercise 8: Send - Fetch - Clear Exercise 9: Be polite and ...

More and more of the information that data scientists are using resides on the web. Importing this data into R requires an understanding of the protocols used on the web. In this chapter, you'll get a crash course in HTTP and learn to perform your own HTTP requests from inside R.

Exercise 1: HTTP Exercise 2: Import flat files from the web Exercise 3: Secure importing Exercise 4: Downloading files Exercise 5: Import Excel files from the web Exercise 6: Downloading any file, secure or not Exercise 7: Reading a text file from the web Exercise 8: HTTP? httr! (1)Exercise 9: HTTP? httr! (2)

Ejercicio actual

Importing data from the web is one thing; actually being able to extract useful information is another. Learn more about the JSON format to get one step closer to web domination.

Exercise 1: APIs & JSON Exercise 2: From JSON to R Exercise 3: Import JSON data from API Exercise 4: OMDb API Exercise 5: JSON & jsonlite Exercise 6: JSON practice (1)Exercise 7: JSON practice (2)Exercise 8: toJSON()Exercise 9: Minify and prettify

Next to R, there are also other commonly used statistical software packages: SAS, STATA and SPSS. Each of them has their own file format. Learn how to use the haven and foreign packages to get them into R with remarkable ease!

Exercise 1: haven Exercise 2: Import SAS data with haven Exercise 3: Import STATA data with haven Exercise 4: What does the graphic tell?Exercise 5: Import SPSS data with haven Exercise 6: Factorize, round two Exercise 7: foreign Exercise 8: Import STATA data with foreign (1)Exercise 9: Import STATA data with foreign (2)Exercise 10: Do you know your data?Exercise 11: Import SPSS data with foreign (1)Exercise 12: Excursion: Correlation Exercise 13: Import SPSS data with foreign (2)