Publications by Mania, Dexter James U.
Analytics Project on Experimental Designs
About the Data The data contains crop stalk (measured in cm) based on the two grain crops, rye and wheat. There are three synthetic and one organic fertilizer treatments used to investigate the impact in the growth of said crop stalk. Preparing the Data library(knitr) fertilizer <- read.table(file ="fertilizer.txt", T) fertilizer fertilizer$g...
2211 sym R (5372 sym/18 pcs) 6 img
Analytics Project on Decision Trees and Random Forest
Packages library("tidyverse") library("rpart") library("rpart.plot") library("randomForest") library("readr") library("dplyr") Import the Data fin_data <- readr::read_rds("Fin Capacity Profiling.rds") fin_data This is a simulated data about financial capacity and the “consumption profile” of a family. Assume that this data describes F...
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Analytics Project on Association Rules and Apriori Algorithm
Packages # for data management and exploratory data analysis or descriptive analysis library("tidyverse") library("lubridate") library("ggplot2") library("RColorBrewer") # for Association Rules library("arules") library("arulesViz") # for LDA (experimental method for market basket analysis) library("topicmodels") lib...
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Analytics Project on PCA
library("tidyverse") library("FactoMineR") library("ggthemes") library("readxl") library("ggthemes") library("dplyr") library("ggplot2") library("formatR") The Dataset comp_index <- read_xlsx(path = "Competitiveness Index.xlsx") colnames(comp_index) <- c("city_muncplty","actv_locEstab", "cap_healthSer", "cap_schoolSer","cap_genLocResourc...
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Analytics Project on Cluster Analysis
Packages and Data Set library("cluster") library("fastcluster") library("NbClust") library("fpc") library("factoextra") library("tidyverse") About the Data The data is about Movies, Gross Income, and Review. It is a modified version of a publicly available IMDB data set. Variables: GROSS - gross income of the movie (in USD) REVIEW - Major...
4310 sym R (5299 sym/39 pcs)
Analytics Project on Factor Analysis
library(tidyverse) library(readxl) library(GPArotation) library(psych) library(FactoMineR) library(cluster) library(fpc) library(NbClust) library(knitr) fa.vitamins <- read_xlsx(path = "vitamins example data.xlsx") fa.vitamins ## # A tibble: 300 x 23 ## p1 p2 p3 p4 p5 p6 p7 p8 p9 p10 p11 p12 p13 #...
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