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Nepal's Democratic Journey: A Comprehensive V-Dem Analysis (1950-2024)
A rigorous quantitative analysis of Nepal's democratic development using Varieties of Democracy (V-Dem) data. This report examines 75 years of political history, identifying three failed democratization attempts, the 2012-2013 constitutional crisis, and recent stabilization under the federal republic. Explores electoral vs. liberal democracy gaps, corruption persistence, federalism implementation, and regional comparisons across South Asia. Includes interactive visualizations and policy-relevant insights for democratic consolidation. Keywords: Nepal democracy, V-Dem indices, democratization, South Asia politics, electoral democracy, constitutional crisis, federalism, political volatility
Assignment4
第4回 確率
Assignment 3b
flowering_pipeline
Module_Overview_UCD_2025
This overview summarizes the distribution of the modules that are relevant for the prospective micro credentials and are currently offered at the University.
Gestión_Estratégica_De_Datos
Material realizado para CRIA Centro Regional de Ingenieros Agrónomos. Jornada de capacitación. Septiembre 2025
Project2_salaries_data
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
Assignment #4
Domáca úloha 2
Autorka: Yuliia Lysytsia
Milestone Report: Exploratory Data Analysis for Text Prediction
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.