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Forecasting Google Stock Price Incorporating COVID-19
The goal of this project is to predict the future stock price of Google using various predictive forecasting models and then analyzing the various models. The dataset for Google stocks is obtained from Yahoo Finance using Quantmod package in R. The timeline of the data is from 2015 till (4/26/2020).
Women In Workplace Analysis - Pay Gap
Women have been tested by the disparity in the workforce throughout the years. Until current occasions, lawful and social practices, joined with the latency of longstanding strict and instructive shows, limited ladies’ entrance and interest in the workforce.
The gender pay gap is the gap between what people are paid. Most generally, it alludes to the middle yearly pay of all ladies who work all day and all year, contrasted with the compensation of a comparable companion of men. It is significant for us to distinguish which business areas and occupations have a critical sex pay hole. It is additionally significant for us to distinguish if there has been any improvement in overcoming any issues regarding time.
We would perform an exploratory data examination on the chronicled information about ladies’ profit and business status. We will utilize summaries and diagrams, in order to find designs and to spot peculiarities. When we recognize the loopholes, we could progress in the direction of connecting the crisis in particular areas and promote fairness.
The World of Anime - MAL
Anime Data Analysis in R MyAnimeList, often abbreviated as MAL, is an anime and manga social networking and social cataloging application website. The site provides its users with a list-like system to organize and score anime and manga. It facilitates finding users who share similar tastes and provides a large database of anime and manga. Anime without rankings or popularity scores were excluded. Producers, genre, and studio were converted from lists to tidy observations, so there will be repetitions of shows with multiple producers, genres, etc.
Problem Statement: This development has been carried out to analyze the various factors that influence the popularity or rank of a particular anime. Implementation: The data was cleaned and shaped accordingly to carry out the analysis and infer the results.
Authors: Vipul Mayank, Sayak Chakraborty