Tugas ini disusun sebagai salah satu syarat pemenuhan Ujian Akhir Semester (UAS) mata kuliah Komputasi Statistika 2

Mapa d'observacions del GBIF (Global Biodiversity Information Facility) de diferents espècies de singnàtids al litoral català amb l'hàbitat marí on s'han localitzat.

WQD7004 Programming for Data Science-Group Project-Group 12 member： LI YONGQI 25060741 LU YUXUAN 25068337 LILUANDONG 25066043 MIXIN 24060896 ZHANG TINGTING 25071760

The project aims at utilizing combined URL data (phishing and non-phishing domain with required features added in a single file) for dimension reduction purpose. Phishing attacks are a significant cybersecurity threat in present day world with dynamically expanding online services. Most IT companies consider organizing phishing training as a crucial method of remediation for such attacks. But, with time the methods deployed by scammers have become more sophisticated. Thus, to eliminate the same company should have more a more optimized database with domains for predicting and blacklisting future phishing links. Currently utilized dataset has 56 columns to store data and accordingly we will deploy various concepts of dimension reduction to help optimize the data for storage.

The goal of this project is to build a predictive text engine. This report demonstrates the initial exploratory analysis of the training data, identifies major features of the language datasets, and outlines the plan for the final Shiny application.

This is the Economic Trend Analysis Visualisation of Economics data from the ggplot2 package of RStudio. Using Economics data of the USA, I analyse the Us Unemployment trend from 1967 to 2015, predict the personal savings rate of US citizens, and using Time series forecasting, I forecast the unemployment trend in the US. After analysis I combined the seasonal pattern + Trend + Residuals, I derived the Trend composition and decomposed the unemployment time series.

True normal distribution

¿A quién se refiere realmente el Salmo 1 cuando habla del "varón", y cómo entendían esta expresión los lectores originales del texto?