Material realizado para CRIA Centro Regional de Ingenieros Agrónomos. Jornada de capacitación. Septiembre 2025

Create a .CSV file (or optionally, a MySQL database!) that includes all of the information included in the dataset. You’re encouraged to use a “wide” structure similar to how the information appears in the discussion item, so that you can practice tidying and transformations as described below.  Read the information from your .CSV file into R, and use tidyr and dplyr as needed to tidy and transform your data. [Most of your grade will be based on this step!]  Perform the analysis requested in the discussion item. Mehreen Ali Gillani

Utilization of "tidyverse" library functions to upload and explore the structure of the dataset

Autorka: Yuliia Lysytsia

An insightful milestone report as part of the Data Science Capstone project, featuring exploratory analysis and early modeling steps for a predictive text algorithm using blogs, news, and Twitter datasets. Includes data loading, summary statistics, sample lines, histograms, word frequency analysis, and recommended next steps toward a Shiny app. Author: Marco Gigante.

UPDATED Version of a previous file This is an interactive mapped profile info of Presidential Candidates and Presidents where I used Abe Caesar Perez dataset at Kaggle. I did not include name of presidential candidates whose significant information are missing. I also added two columns to the dataset for lng and lat to map the candidates' and presidents' home cities. Blue markers are for Presidents and the red markers are for losing Presidential Candidates. This interactive mapped profile can be used by history students and teachers as an interactive learning aid.

Ekonometria - zadanie