I used R to pull JSON data from the Nobel Prize API and answer four questions. I looked at how often prizes were shared, how the average number of recipients changed over time, who the youngest winners were in each category, and how often winners were affiliated with an institution in a different country from where they were born.

Informe académico ecuaciones de segundo grado y sistema de ecuaciones de dos incógnitas utilizado R-MARKDOWN

3. Optimización Mote Carlo 3.1 Métodos de gradiente 3.2 Simulación recocido 3.3 Algoritmo EM 3.4 Monte Carlo EM

I reproduced the Jane Austen sentiment analysis from Chapter 2 of Text Mining with R and compared how the Bing and Loughran–McDonald dictionaries score passages from Alice’s Adventures in Wonderland.

El objetivo es realizar la prueba de Duckey Fuller, Soren Johansen y la prueba de Causalidad en Sentido de Granger.

Final Slides for Data Products Course

Flattening the Nobel Prize API's nested JSON in R to ask four questions, including which countries lost laureates to the institutions that eventually claimed their prizes.

Nama: Diva Ayulestari Haeri NIM: 2507016007