Publications by Karol Orozco
Data-Wrangling-in-R
### Tible from data set tibb <- as_tibble(CO2) tibb ## # A tibble: 84 x 5 ## Plant Type Treatment conc uptake ## <ord> <fct> <fct> <dbl> <dbl> ## 1 Qn1 Quebec nonchilled 95 16 ## 2 Qn1 Quebec nonchilled 175 30.4 ## 3 Qn1 Quebec nonchilled 250 34.8 ## 4 Qn1 Quebec nonchilled 350 37.2 ## 5 Q...
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Fundamental- Final project
Association Rules Foundations of Data Science with R Karol Orozco, Charlene Ewing Motivation: The Usefulness of Market Basket Analysis Companies’ need for data processing has generated a new science, methodology, and tools to analyze large masses of data such as Big Data or data mining. This science has developed methods and predictive algorith...
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Dashboard
Marketing Basket Analysis Findings Column Orders Departments Column Bestsellers Products Less Popular Products --- title: "Marketing Basket Analysis" output: flexdashboard::flex_dashboard: orientation: columns vertical_layout: fill source_code: embed theme: journal --- ```{r setup, include=FALSE} library...
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Basket Analysis
Retail Store Report FALL 502- Data Visualization Karol Orozco, Maribel Mendez Objective Our goal is to earn customer loyalty and increase revenue through machine-readable marketing data, which allows us to create a user behavior profile and more accurately predict revenue. Data Orders- Time and Day So, from the above graph, its clear that Maxi...
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OPTION 2: (Challenge) Recreate
OPTION 2: (Challenge) Recreate OPTION 2: (Challenge) Recreate Libraries The Data Data Wrangling Import Map Package Join to Your Data Make your first attempt at creating a graphic Color palette Brainstorming/Planning Update your plot Final polished plot Happy Thanksgiving! Karol Orozco 11/11/2021 Libraries ## library(tidyverse) ## library(g...
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Squirrels Census Assignment
DATA 502: Homework W#4 Karol Orozco The Task Using the dataset from below, present three ggplot2 plots that attempt to answer questions about the data that you think are interesting. The focus of this assignment is exploration and experimentation. Concentrate on answering each question in a variety of ways and exploring the functionality of ggpl...
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Intro to ggplot
Part 1: Learning about your data Step 1: load the data library(tidyverse) data("diamonds") Step 2 Learn about your data str(diamonds) ## tibble [53,940 x 10] (S3: tbl_df/tbl/data.frame) ## $ carat : num [1:53940] 0.23 0.21 0.23 0.29 0.31 0.24 0.24 0.26 0.22 0.23 ... ## $ cut : Ord.factor w/ 5 levels "Fair"<"Good"<..: 5 4 2 4 2 3 3 3 1 ...
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ggplot practice 2
data("diamonds") str(diamonds) ## tibble [53,940 x 10] (S3: tbl_df/tbl/data.frame) ## $ carat : num [1:53940] 0.23 0.21 0.23 0.29 0.31 0.24 0.24 0.26 0.22 0.23 ... ## $ cut : Ord.factor w/ 5 levels "Fair"<"Good"<..: 5 4 2 4 2 3 3 3 1 3 ... ## $ color : Ord.factor w/ 7 levels "D"<"E"<"F"<"G"<..: 2 2 2 6 7 7 6 5 2 5 ... ## $ clarity: ...
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Recreation
Recreation Karol O 10/12/2021 The Data # Import data vreg<-read.csv("https://raw.githubusercontent.com/fivethirtyeight/data/master/ voter-registration/new-voter-registrations.csv", header=TRUE) # Level the Month variable so that its in the right order (ie not alphabetical) vreg$Month<-factor(vreg$Month, levels=c("Jan", "Feb", "Mar", "Apr",...
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DataViz Scales
iah <- read_csv("http://vis.cwick.co.nz/data/iah-summary.csv") ## Rows: 154 Columns: 7 ## -- Column specification -------------------------------------------------------- ## Delimiter: "," ## chr (1): DayOfWeek ## dbl (6): DepHour, avg_delay, avg_delay_delayed, prop_over_15, nflights, ndests ## ## i Use `spec()` to retrieve the full column s...
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