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DataCamp Skill Track: Data Manipulation with R

Master advanced concepts in data manipulation using powerful tools like dplyr and data.table to make your data science projects faster and more readable.

DataCamp Courses:

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Drew LaMar onto Data Life Cycle: Wrangle

DataCamp Skill Track: Importing & Cleaning Data with R

Learn how to parse data in any format. Whether it's flat files, statistical software, databases, or web data, you'll learn to handle it all.

DataCamp Courses:

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Drew LaMar onto Data Life Cycle: Wrangle

DataCamp Course: Importing & Cleaning Data in R: Case Studies

Course Description

Running exciting analyses on interesting datasets is the dream of every data scientist. But first, some importing and cleaning must be done. In this series of four case studies, you'll revisit key concepts from our courses on importing and cleaning data in R.

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Drew LaMar onto Data Life Cycle: Wrangle

DataCamp Course: Cleaning Data in R

Course Description

It's commonly said that data scientists spend 80% of their time cleaning and manipulating data and only 20% of their time actually analyzing it. For this reason, it is critical to become familiar with the data cleaning process and all of the tools available to you along the way. This course provides a very basic introduction to cleaning data in R using the tidyr, dplyr, and stringr packages. After taking the course you'll be able to go from raw data to awesome insights as quickly and painlessly as possible!

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Drew LaMar onto Data Life Cycle: Wrangle

DataCamp Course: Importing Data in R (Part 2)

Course Description

In this second part to Importing Data in R, you will take a deeper dive into the wide range of data formats out there. More specifically, you'll learn how to import data from relational databases and how to import and work with data coming from the web. Finally, you'll get hands-on experience with importing data from statistical software packages such SAS, STATA and SPSS.

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Drew LaMar onto Data Life Cycle: Wrangle

DataCamp Course: Importing Data in R (Part 1)

Course Description

Importing data into R to start your analyses—it should be the easiest step. Unfortunately, this is almost never the case. Data come in all sorts of formats, ranging from CSV and text files and statistical software files to databases and HTML data. Knowing which approach to use is key to getting started with the actual analysis.

In this course, you will get started with learning how to read CSV and text files in R. You will then cover the readr and data.table packages to easily and efficiently import flat file data. After that you will learn how to read XLS files in R using readxl and gdata.

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Drew LaMar onto Data Life Cycle: Wrangle

Figure of the Day: Disease version

Students use their number sense to make observations and come up with reasonable guesses or explanations for the patterns shown. Forked version with all infectious disease graphs.

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Arietta Fleming-Davies onto Figure of the Day

Helping students ask questions

  • All students should and can learn to formulate their own questions
  • All educators can easily teach the skill as part of their regular practice

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Kristin Jenkins onto Morphology BIRDD Data

DFMorph (Darwin's Finch Morphology) database

The Darwin's Finch Morphology database contains data, mostly morphological (e.g., beak dimensions), on individual Darwin’s finches. The data are from a number of published and unpublished sources.

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Note: You must be a member of the BIRDD group to explore this data in Radiant.

Bibliography

  • Price, F. and Donovan, S. (2006). "BioQUEST Library VII: BIRDD: Beagle Investigations Return with Darwinian Data Version 2.0 (User Notes)."  BioQUEST Curriculum Consortium.
  • Lack, D.L. (1945). “The Galápagos finches (Geospizinae): a study in variation.” Occasional Papers of the California Academy of Sciences 21: 1-159.
  • Lack, D.L. (1947). Darwin's Finches: an essay on the general biological theory of evolution. Cambridge, England, Cambridge University Press.
  • Lack, D.L. (1969). “Subspecies and sympatry in Darwin's Finches.” Evolution 23: 252-263.
  • Snodgrass, R. E. and E. Heller (1904). “Papers from the Hopkins-Stanford Galapagos Expedition, 1898-99 XVI. Birds.” Proc. Wash. Acad. Sci. 5: 231-372.
  • Sulloway, F. J. (1982). “The Beagle collections of Darwin's Finches (Geospizinae).” Bulletin of the British Museum (Natural History), Zoology series 43: 49-94.
  • Swarth, H. S. (1931). “The avifauna of the Galapagos Islands.” Occ. Pap. Calif. Acad. Sci 18: 5-299.

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Drew LaMar onto Morphology BIRDD Data

Finch Status Dataset

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Note: You must be a member of the BIRDD group to explore this data in Radiant.

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Drew LaMar onto Island and Habitat BIRDD Data

Phylogeny.fr: Robust Phylogenetic Analysis For The Non-Specialist

Phylogeny.fr is a free, simple to use web service dedicated to reconstructing and analysing phylogenetic relationships between molecular sequences.

Phylogeny.fr runs and connects various bioinformatics programs to reconstruct a robust phylogenetic tree from a set of sequences.

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Drew LaMar onto Molecular BIRDD Data

Island Summary Dataset

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Note: You must be a member of the BIRDD group to explore this data in Radiant.

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Drew LaMar onto Island and Habitat BIRDD Data

R script for combining site-month NEON data files

This script, with only 3 lines of code, is to help non- or early-R users combine the NEON site-month data that is downloaded from the NEON data portal. 

This R script allows you to combine multiple months & sites of NEON data downloaded as a .zip file from the NEON data portal (data.neonscience.org).  
This script is only for NEON data products that are delivered as zipped folders of .csv files (most OS and IS data products but not AOP data products). 

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Island and Habitat BIRDD Data

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Nicole Chodkowski onto Island and Habitat BIRDD Data

Molecular BIRDD Data

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Nicole Chodkowski onto Molecular BIRDD Data

Morphology Dataset

Over 6500 specimens that were measured by David Lack. These data were transcribed from records deposited at the California Academy of Sciences.

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Note: You must be a member of the BIRDD group to explore this data in Radiant.

Citation

  • Lack DL (1947) Darwin's finches: an essay on the general biological theory of evolution, Cambridge University Press.
  • Lack DL (1947) Data from: Darwin's finches: an essay on the general biological theory of evolution. Dryad Digital Repository. https://doi.org/10.5061/dryad.150

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Nicole Chodkowski onto Morphology BIRDD Data

BIRDD Morphology Data

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Nicole Chodkowski onto Morphology BIRDD Data

Datamethods Discussion Forum

This is a place where statisticians, epidemiologists, informaticists, machine learning practitioners, and other research methodologists communicate with themselves and with clinical, translational, and health services researchers to discuss issues related to data...

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Created by Frank Harrell

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Road Map for Choosing Between Statistical Modeling and Machine Learning

from the Statistical Thinking blog by Frank Harrell

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Drew LaMar onto Machine Learning

Comprehensive list of color palettes available in r

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Drew LaMar onto Data Visualization

A Wes Anderson color palette for R

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Drew LaMar onto Data Visualization

Colors in R

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Drew LaMar onto Data Visualization

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