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Personal Recommendations Project1:38 with Alena Holligan
We're ready to start parsing the data we read, into arrays and objects that we can use in our code. This project will share some personal recommendations, while giving you a chance to experiment with different data types.
[MUSIC] 0:00 We're ready to start handling some of the most common data types 0:04 including CSV, JSON and XML. 0:08 The functions we'll be using work much the same way as reading and 0:11 writing files from the last section. 0:15 The only difference is that these new functions will parse the data files 0:17 into arrays and objects that we can use in our code. 0:21 I thought I'd give you a little project for experimenting with these different 0:24 data types and at the same time, share some of my personal recommendations. 0:29 Let's take a look at the project. 0:34 Even if you have a workspace from the last section, 0:35 you want to launch a new workspace for 0:38 this section because I included some starter files for our project. 0:40 Let's preview this site in a browser. 0:45 We'll be building a personal recommendation site. 0:48 We'll start by using the CSS format to display some of my top suggestions for 0:51 people to follow. 0:56 Next we'll move on to JSON data where will display my top picks for 0:58 programming books. 1:03 And finally we'll finish up with XML data for some of my favorite podcast. 1:04 By using your own data files, 1:10 you'll be able to create your own personal recommendations. 1:12 Will also be updating these files so I've included the forms will need for input. 1:15 I'll show you how to format the user data for each file type. 1:21 Ideally, these forms would be restricted to logged in users. 1:26 If you'd like to learn how to restrict access, make sure you check the notes, for 1:31 a link to our User Authentication Course. 1:35
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