The Impressive Growth of R

Using Kaggle as a beginner, Python Graph Gallery, Impressive growth of R, and more! [DataCamp]( DataCamp Weekly Issue #19 ― October 17, 2017 Tuesday! Time for us to share some data science news and resources. First off, thank you for those that joined us last week for the FB live code along! We had a blast and look forward to doing that again. For those of you that didn’t make it, below is the all the code with explanations you need to try it yourself. Do you think you can improve on it? This week we’re talking about Kaggle for beginners, Python data visualization gallery, how ML finds you new music, the impressive growth of R and more! Like what you’re seeing? Forward to a friend! Received this email from a friend? [Sign up]( for a DataCamp account to to receive a dose of data science every Tuesday. Projects & Resources [Web scraping & NLP in Python]( We went live last week on Facebook for a code along session, and a lot of you wanted us to share the code with some explanation. So here it is: learn how to scrape novels from the web and plot word frequency distribution using BeautifulSoup, requests and nltk. [datacamp.com]( [How do I use Kaggle as beginner in data science & ML?]( DataCamp’s Karlijn Willems answers a quora question on how to best make use of Kaggle as a beginner learning data science. Kaggle is a great resource, but a correct approach is necessary, as Karlijn explains here. [quora.com]( [The Python Graph Gallery]( This website displays hundreds of charts and its reproducible Python code. It’s a great resource to get some inspiration for data visualizations! [python-graph-gallery.com]( [Creating interactive SVG tables in R]( This tutorial shows you how to create SVG tables in R using plotly. The tables look good and can be modified anytime by using drag and drop. Worth a look! [lenkiefer.com]( In the News [Spotify’s Discover Weekly: How machine learning finds your new music]( Surprised at how well Spotify can find music to your tastes? Here’s a rare look at the science behind personalized music recommendations. Must read. [hackernoon.com]( [The Impressive Growth of R]( We shared DataCamp instructor David Robinson’s post previously on how Python seemed to be the fastest growing programming language, and that was largely due to data science exploding in recent years. Here David shows us how R has experienced a similar growth. [stackoverflow.blog]( [Want to Become a Data Scientist? Read This Interview First]( Insightful interview of Jennifer Priestley, Associate Dean and professor of Statistics at Kennesaw State University, on what it takes to become a data scientist. [kdnuggets.com]( [Your Data is Being Manipulated]( Very interesting read on how data is influenced across disciplines. From hacking media attention to cultural biases in data, data is being manipulated in ways we need to watch out for. [points.datasociety.net]( Elsewhere • [SoundCloud's Data Science Process]( • [Where can North Korea’s missiles reach? (Cool Visualization!)]( • [Why Use Docker with R? A DevOps Perspective]( • [Using machine learning to generate fake startups]( Jobs • [17 R Jobs for R users (2017-10-12) – from around the world]( • [Junior Data Scientist, reverb.com, Chicago]( • [Engineer (Data Scientist), Salesforce, Hyderabad]( [Visualizing Pi]( That's all for now. Have a great week! [DataCamp] [DataCamp]( DataCamp Inc. | 2067 Massachusetts Avenue | Cambridge MA 02140 [Facebook] [Facebook]( [Twitter] [Twitter]( [LinkedIn] [LinkedIn]( [YouTube] [YouTube]( [Unsubscribe](