Publications by Rashmi Walavalkar(s3804366)
Data Wrangling Assignment 2 (s3804366)
Required packages [R code] ##Attaching package library(dplyr) library(tidyr) library(readr) library(outliers) library(lubridate) library(forecast) library(data.table) library(magrittr) library(deducorrect) library(editrules) Executive Summary In Data Preprocessing ,firstly two datasets fighters and fights consisting of data about fight...
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Data Wrangling Assignment 2 (s3804366)
Required packages [R code] library(dplyr) library(tidyr) library(readr) library(outliers) library(lubridate) library(forecast) library(magrittr) library(deducorrect) library(outliers) Executive Summary In Data Preprocessing ,firstly two datasets fighters and fights consisting of data about fighters and matches played by each fighter ,hav...
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Story telling with open source data
Click the Objective, Code and Visual Outcome tabs to know more. Objective Source: Our World in Data. Objective There’s only one thing precious than our TIME,and thats WHO we spend it on", says Leo Christopher. Time is very precious and it wont come back once gone.And so people around the world are running hard to win the race. Here Time Mana...
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Data Visualisation Assignment 2
Click the Original, Code and Reconstruction tabs to read about the issues and how they were fixed. Original Source: Our World in Data. Objective Explain the objective of the original data visualisation and the targetted audience. The Original data consists of world data that is 296 countries and its colored based on 6 continents which records ...
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Forecast Project
About the Final Project: The project report consist of three tasks: [a] Task1: Your task is to give best 4 weeks ahead forecasts in terms of R squared, AIC, BIC, MASE etc (as is appropriate) for the mortality series. Provide the point forecasts and confidence intervals and corresponding plot for the most optimal model for each method used. [b] Ta...
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Forecasting solar data and analysing correlation between PPI and population change in Victoria
Introduction As the Title suggests, this report consists of two tasks. The aim of the first task is analysis and forecasting of the amount of horizontal solar radiation reaching the ground at a particular location over the globe. For this task, we will apply time series regression method to fit distributed lag models using monthly precipitation s...
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Forecasting ASX time series data
Introduction The aim of the investigation is to perform the analysis of the Australian Securities Exchange (ASX) data and observe the results to reach upon conclusions using various techniques, we will analyse the nature of series. investigate about Stationarity/ non stationarity of data set perform transformation and decomposition explore the v...
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