Publications by Author: 110077432
Atlas Telecommunications Service Quality Analysis
Atlas Telecommunications Service Quality Analysis Author: Daniele Melotti Date: Dec 2023 See the related GitHub repository for code, data and list of tasks. 1. Data Visualization and Hypothesis Formulation We start off by loading the sample data with the repair times of Atlas Telecommunications and summarizing it: atlas <- read.csv(file = "../data/...
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Computational Statistics in Business Analytics - Introduction to Computation
Computational Statistics in Business Analytics - Introduction to Computation Author: Daniele Melotti Date: Nov 2023 See the related GitHub repository for code, data and list of tasks. 1. Retrieve Data Points We import a dataset containing 1 variable, which is the age of a set of customers, and move the ages into a vector called ages. dataset <- rea...
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Computational Statistics in Business Analytics - Statistical Simulations
Computational Statistics in Business Analytics - Statistical Simulations Author: Daniele Melotti Date: Nov 2023 See README for list of tasks and project description. 1. Generate and Visualize Artificial Distributions Consider the composite distribution below - Distribution 1. It has been created by combining three normal distributions. When we visu...
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Restaurant Booking Analysis with Bootstrapping
Restaurant Booking Analysis with Bootstrapping Author: Daniele Melotti Date: Dec 2023 See README for list of tasks and project description. 1. Data Exploration Load the data and convert datetime into a POSIXlt date-time format We start by loading and taking a peek at the dataset: bookings <- read.table("../data/first_bookings_datetime_sample.txt", ...
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Computational Statistics in Business Analytics - Confidence Intervals
Computational Statistics in Business Analytics - Confidence Intervals Author: Daniele Melotti Date: Nov 2023 1. Data Standardization and Exploration Standardize a synthetic dataset Data standardization is essentially the process of rescaling data so that it has a mean of 0 and a standard deviation of 1. This process is particularly helpful in guara...
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Sharing from RStudio (local)
Question 1 a) Calculating the probability that a random app from Google’s app store will turn off Verify feature The probability (represented as a decimal fraction) that a randomly chosen app from Google’s app store will turn off the Verify security feature is: verify_off <- fractions(pnorm(-3.7), max.denominator = 100000) f = function(x, den...
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RPubs - Sharing Test
Question 1 a) Creating a normal distribution and standardizing it: rnorm_no_std <- rnorm(n = 100, mean = 940, sd = 190) # non-standardized rnorm_std <- (rnorm_no_std - mean(rnorm_no_std))/sd(rnorm_no_std) # standardized i) What values of mean and standard deviation do we expect? After standardizing, we expect the mean of the distribution to be eq...
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