R FUN!damentals: Part 2

R FUN!damentals Part 2: Subsetting and Reshaping

Students will be introduced to loading data from files and various ways to subset it with an emphasis on bracket notation. You will also learn how to use logical vectors, search for and subset missing data, and merge data frames. Terms like subset, bracket notation, and logical vectors will be defined or reintroduced in Part 2.

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The available spaces and the waitlist for this event are both full.

R FUN!damentals: Part 1

Data are the foundations of the social and biological sciences. Familiarizing yourself with a programming language can help you better understand the roles that data play in your field. Learn to develop and train your data skills at the free D-Lab R workshops!

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Geospatial Data in R: Part 2

Geospatial data are an important component of social science and humanities data visualization and analysis. The R programming language is a great platform for exploring these data and integrating them into a research project. 

Geospatial Data in R, part 2: Geoprocessing and analysis

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Geospatial Data in R: Part 1

Geospatial data are an important component of social science and humanities data visualization and analysis. The R programming language is a great platform for exploring these data and integrating them into your research. 

Geospatial Data in R, part I: Getting started with spatial data objects

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CANCELLED: Introduction to Dedoose (will be rescheduled, date/time TBD)

This workshop has been cancelled due to instructor illness. This workshop will be rescheduled at a later date. Please keep an eye on the D-Lab newsletter and the QMG email list for the new date/time. Please accept our sincere apologies for any inconvenience this causes.This workshop will focus on organizing, coding, and analyzing qualitative data using Dedoose.

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Basics of Excel: Part 2

This class will cover the basics of Excel, from simple formulas (SUM, COUNTIF) to more complex Excel features like Macros and the Data Analysis ToolPak. By the end of both sections, students will be able to employ Excel skills to open source policy data sets. These skills are transferrable to any sector.

Topics Covered Will Include:

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Visualization in Excel

In Visualization in Excel, we will cover the fundamentals of visualization in Excel, including a checklist of considerations that should go into every visualization. We will also go through step by step instructions on how to make horizontal bar charts, slope graphs, butterfly charts, the good kind of pie charts, icon arrays, and how to graph confidence intervals. We will not be using Microsoft Office default colors. 

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The available spaces and the waitlist for this event are both full.

The Basics of Excel: Part 1

This class will cover the basics of Excel, from simple formulas (SUM, COUNTIF) to more complex Excel features like Macros and the Data Analysis ToolPak. By the end of both sections, students will be able to employ Excel skills to open source policy data sets. These skills are transferrable to any sector.

Topics Covered Will Include:

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The available spaces and the waitlist for this event are both full.

Stata FUN!damentals: Part 3

This three-part series will cover the following materials:

Part 1:  Introduction

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