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Data Science

Data Science (LIS-661)

Description: This course will provide a foundation in the area of data science-based on data curation and statistical analysis. The primary goal of this course is for students to learn data analysis concepts and techniques that facilitate making decisions from a rich data set. Students investigate data concepts, metadata creation and interpretation, general linear method, cluster analysis, and basics of information visualization. In the beginning, this course will introduce fundamentals… Read More »Data Science (LIS-661)

LIS661 Notebook

library(readr) Dataset <- read_csv(“C:/Users/coblem/Documents/Home/Matt/Graduate School/LIS-661/Dataset/Dataset.csv”) ## Parsed with column specification: ## cols( ## .default = col_double(), ## HRHHID = col_character(), ## Skip2 = col_character(), ## GESTFIPS = col_character(), ## Skip3 = col_character(), ## Skip7 = col_character(), ## Skip8 = col_character(), ## Column29 = col_character() ## ) ## See spec(…) for full column specifications. Now assign this to a data frame df_Dataset <- data.frame(Dataset) Lets take a look a the unique… Read More »LIS661 Notebook