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    • Making Sense of Economic Data (ECON 226/227)
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  1. Getting Started: Introduction to Data, R, and Econometrics
  • Learn by Skill Level


  • Getting Started: Introduction to Data, R, and Econometrics
    • Intro to JupyterNotebooks
    • Intro to R
    • Intro to Data (Part 1)
    • Intro to Data (Part 2)

  • Beginner: Using R and Data in Applied Econometrics
    • Introduction to Statistics I
    • Introduction to Statistics II
    • Central Tendency
    • Dispersion and Dependence
    • Confidence Intervals
    • Hypothesis Testing
    • Data Visualization I
    • Data Visualization II
    • Distributions
    • Sampling Distributions
    • Simple Regression

  • Intermediate: Econometrics and Modeling Using R
    • Simple Regression
    • Multiple Regression
    • Issues in Regression
    • Interactions

    • Geographic Computation
    • Chi-Square Test
    • t-test
    • ANOVA
    • Regression
    • Wrangling and Visualizing Data

  • Advanced Modules
    • Classification and Clustering
    • Differences In Differences
    • Geospatial I
    • Geospatial II
    • Instrumental Variables I
    • Instrumental Variables II
    • Large Language Model APIs (Python)
    • Linear Differencing
    • Training LLMS
    • Sentiment Analysis Using LLMs (Python)
    • Transcription (Python)
    • Vocalization (Python)
    • Word Embeddings (Python)
    • Word Embeddings (R)
    • Panel Data
    • Synthetic Controls
Categories
All (4)
R (3)
basics (2)
cells (1)
cleaning (1)
data (2)
data cleaning (1)
data structures (1)
data types (1)
data wrangling (1)
dataframes (1)
dummy variables (1)
econ intro (1)
factor variables (1)
functions (1)
getting started (4)
importing data (1)
introduction (4)
jupyter (1)
merging data (1)
missing values (1)
notebooks (1)
operations (1)
tables (1)
tidyverse (2)
troubleshooting (1)
variables (1)

Getting Started: Introduction to Data, R, and Econometrics

The modules in this unit are Getting Started level. They are intended for people who are totally new to tools like Jupyter and R. All of our other materials rely on these ones, so you could plan to review it carefully.

  • If you are looking to filter by a specific course, select the course number in the list of categories from the browse all section.
  • If you’re looking for the first notebook, check out Introduction to Jupyter.

You can also see our Quickstart Guide if you need help getting set-up.

Kernel Symbol Off

0.1 - Introduction to JupyterNotebooks
Welcome to COMET! This is the very first notebook most of you will do, and it introduces you to some basics of Jupyter and using this project. Have fun!
12 Jan 2023

0.2 - Introduction to R
This notebook introduces you to some fundamental concepts in R. It might be a little complex for a start, but it covers basically all of the fundamental syntax you need to…
12 Jan 2023

0.3.1 - Introduction to Data in R - Part 1
This notebook introduces you to data in R, primarily using the tidyverse set of packages. It includes basic data curation and cleaning, including table-based inspection…
12 Jan 2023

0.3.2 - Introduction to Data in R - Part 2
An introduction to analyzing data using tidyverse and dplyr in R including workflows for loading, merging, cleaning and visualizing data.
9 Jul 2023
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Intro to JupyterNotebooks
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  • The COMET Project and the UBC Vancouver School of Economics are located on the traditional, ancestral and unceded territory of the xʷməθkʷəy̓əm (Musqueam) and Sḵwx̱wú7mesh (Squamish) peoples.