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Training and Instruction

Permanent URI for this collectionhttps://hdl.handle.net/10217/195518

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Browsing Training and Instruction by Subject "Data editing"

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    Basic data analysis using R
    (Colorado State University. Libraries, 2017-04-25) Magle, C. Tobin, speaker
    Learning how to code can be intimidating, but will save you time and effort in the long run. This month's Data and Donuts will cover basic analysis of tabular data in R studio. By the end of this session, you will be able to load data into R, calculate summary statistics, split the data based on categorical variables and create exploratory graphs using R's basic graphics package. This session is geared toward beginners, so if you have lots of coding experience, this may not be the class for you.
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    Collaborative data management using the Open Science Framework
    (Colorado State University. Libraries, 2017-10-31) Magle, C. Tobin, speaker
    Our access to the web makes collaborating with colleagues at other institutions easier, but it is not without its challenges. In this Data and Donuts, we will cover a tool. After this session you'll be able to how to to store files, easily collaborate with people outside your institution, and link accounts like Google Drive and Dropbox.
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    Data cleaning using OpenRefine
    (Colorado State University. Libraries, 2018-02-13) Magle, C. Tobin, speaker
    The process of generating data can be messy, especially when data are hand collected by multiple people. This month's Data and Donuts will discuss how to wrangle messy tabular data using OpenRefine (https://openrefine.org/), a free, open source tool for working with messy data. We will discuss the concepts of faceting, clustering, and splitting data. We will also show you how to export scripts to help you automate the cleaning process.
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    Data cleaning using OpenRefine
    (Colorado State University. Libraries, 2017-03-28) Magle, C. Tobin, speaker
    The process of generating data can be messy, especially when data are hand collected by multiple people. This month's Data and Donuts will discuss how to wrangle messy tabular data using OpenRefine (https://openrefine.org/), a free, open source tool for working with messy data. We will discuss the concepts of faceting, clustering, and splitting data. We will also show you how to export scripts to help you automate the cleaning process.
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    Data cleaning using R
    (Colorado State University. Libraries, 2017-11-02) Magle, C. Tobin, speaker
    The process of generating data can be messy, especially when data are hand collected by multiple people. This month's Coding and Cookies will discuss how to wrangle messy tabular data using R. After this session, you will be able to import tabular data into R, convert data to an appropriate type, recode categorical variables, convert dates, manipulate strings, detect and fix errors in your data. A basic working knowledge of R and R studio would be helpful for you to get the most out of this session.
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    Data organization
    (Colorado State University. Libraries, 2016-10-12) Magle, C. Tobin, speaker
    One element of good data management is knowing what you have and where it is. This month's Data and Donuts will discuss best practices for data organization. The session will discuss topics like efficient folder structures, proper file naming and how to organize tabular data within spreadsheets.
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    Data organization
    (Colorado State University. Libraries, 2017-02-28) Magle, C. Tobin, speaker
    One element of good data management is knowing what you have and where it is. This month's Data and Donuts will discuss best practices for data organization. The session will discuss topics like efficient folder structures, proper file naming and how to organize tabular data within spreadsheets.
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    Data organization in spreadsheets
    (Colorado State University. Libraries, 2017-11-28) Magle, C. Tobin, speaker
    One element of good data management is knowing what you have and where it is. This month's Data and Donuts will discuss best practices for data organization. The session will discuss how to organize tabular data within spreadsheets.
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    Data visualization using R
    (Colorado State University. Libraries, 2017-05-16) Magle, C. Tobin, speaker
    So you've taken the R basics session and you're ready to make publication quality graphs using R. This month's Data and Donuts will show you how to use the ggplot package in R. After this session, you will be able to create a variety of plot types, alter their aesthetics, and use facets to automate the creation of several graphs at once. Some experience with R is recommended but not required.
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    Data visualization using R
    (Colorado State University. Libraries, 2018-02-15) Magle, C. Tobin, speaker
    So you're familiar with R, but want to do more with your plots than the base graphics package. This month's Coding and Cookies will show you how to use the ggplot2 package in R. After this session, you will be able to create a variety of plot types, alter their aesthetics, and create custom themes. A working knowledge of R and R studio and dplyr would be helpful for you to get the most out of this session.
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    Data wrangling in R
    (Colorado State University. Libraries, 2017-11-30) Magle, C. Tobin, speaker
    What you can do with your data depends strongly on how its formatted. This month's coding and cookies will cover how to manipulate datasets using an R package called dplyr. After this session, you will be able to subset, reformat and summarize your data. A basic working knowledge of R and R studio would be helpful for you to get the most out of this session.
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    Data wrangling using dplyr
    (Colorado State University. Libraries, 2015) Magle, C. Tobin, speaker
    What you can do with your data depends strongly on how its formatted. This month's coding and cookies will cover how to manipulate datasets using an R package called dplyr. After this session, you will be able to subset, reformat and summarize your data. A basic working knowledge of R and R studio would be helpful for you to get the most out of this session.
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    How to write a data management plan
    (Colorado State University. Libraries, 2016-09-29) Magle, C. Tobin, speaker
    This presentation describes best practices for how to write a data management plan for your research data. Additionally, it provides information about finding funder requirements, metadata standards, and repositories.
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    Reproducible research
    (Colorado State University. Libraries, 2017-06-26) Magle, C. Tobin, speaker
    What is reproducible research? Why should you adopt it? How to use R, git and markdown to make your analysis more efficient and reproducible.