In 2004, the state of North Carolina released a large dataset containing information on births recorded in this state. This dataset is useful to researchers studying the relationship between habits and practices of expectant mothers and the birth of their children. We will work with a random sample of observations from this data set.

Sampling from Ames, Iowa dataset.

Importing HTML, JSON and XML files into R

Analysing mean home price.

Movie_Dataset_Cleaning and Descriptive Statistics

In this lab we’ll investigate the probability distribution that is most central to statistics: the normal distribution. If we are confident that our data are nearly normal, that opens the door to many powerful statistical methods. Here we’ll use the graphical tools of R to assess the normality of our data and also learn how to generate random numbers from a normal distribution.

The assignment will consider a wide dataset describing arrival delays for two flight data across five destinations. The purpose of this assignment is to use the tidyr and dplyr packages to tidy and transform the flights dataset and perform a comparative analysis of the two flight data

Import, Clean a text file and store final output in a csv file.

Analyzing Kobe Streak

Vector Arrangement Logical Vector Construction Decipher

To extract MySQL movie table data from MySQL workbench using R script.

To create data and data frame with a subset of the columns in the dataset.

Exploratory Data Summary

Stock Volatility

Descriptive Analyses for LWV

test