Publications by Lulua Shahmalak
Normal distribution Lab
library(tidyverse) ## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ── ## ✔ ggplot2 3.3.6 ✔ purrr 0.3.4 ## ✔ tibble 3.1.8 ✔ dplyr 1.0.10 ## ✔ tidyr 1.2.0 ✔ stringr 1.4.1 ## ✔ readr 2.1.2 ...
5923 sym R (3132 sym/30 pcs) 9 img
Math217 - Homework chapter 4
4.3.1, 4.3.2, 4.3.9, 4.3.10, 4.3.11, 4.3.17, 4.4.2, 4.4.6, 4.S.16, 4.S.17, 4.S.19, 4.S.20 4.3.1: library(tidyverse) ## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ── ## ✔ ggplot2 3.3.6 ✔ purrr 0.3.4 ## ✔ tibble 3...
1842 sym R (2460 sym/54 pcs)
Treemaps, Heatmaps, Streamgraphs, and Alluvials
library(treemap) library(tidyverse) ## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ── ## ✔ ggplot2 3.3.6 ✔ purrr 0.3.4 ## ✔ tibble 3.1.8 ✔ dplyr 1.0.10 ## ✔ tidyr 1.2.0 ✔ stringr 1.4.1 ## ✔ ...
7697 sym R (9283 sym/46 pcs) 8 img 1 tbl
R lab 5_math217
Foundations for statistical inference - Sampling distributions In this lab, we investigate the ways in which the statistics from a random sample of data can serve as point estimates for population parameters. We’re interested in formulating a sampling distribution of our estimate in order to learn about the properties of the estimate, such as i...
9041 sym Python (2899 sym/28 pcs) 8 img
nycflights visualization
NYC Flights Homework Load the libraries and view the “flights” dataset library(tidyverse) ## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ── ## ✔ ggplot2 3.3.6 ✔ purrr 0.3.4 ## ✔ tibble 3.1.8 ✔ dplyr ...
2193 sym R (4175 sym/10 pcs) 1 img
Nations
library(tidyverse) ## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ── ## ✔ ggplot2 3.3.6 ✔ purrr 0.3.4 ## ✔ tibble 3.1.8 ✔ dplyr 1.0.10 ## ✔ tidyr 1.2.0 ✔ stringr 1.4.1 ## ✔ readr 2.1.2 ...
28 sym R (16608 sym/14 pcs) 2 img
Foundations for statistical inference - Confidence intervals
Foundations for statistical inference - Confidence intervals The data In the previous lab, ``Sampling Distributions’’, we looked at the population data of houses from Ames, Iowa. Let’s start by loading that data set. download.file("http://www.openintro.org/stat/data/ames.RData", destfile = "ames.RData") load("ames.RData") In this lab we’...
4452 sym Python (1258 sym/21 pcs) 3 img
First markdown - data 101
R Markdown This is my first R Markdown file, which is a simple formatting syntax for authoring html, pdf, and word documents. summary(cars) ## speed dist ## Min. : 4.0 Min. : 2.00 ## 1st Qu.:12.0 1st Qu.: 26.00 ## Median :15.0 Median : 36.00 ## Mean :15.4 Mean : 42.98 ## 3rd Qu.:19.0 3rd Qu.: ...
153 sym 1 img
Data 101 - IC7b
Import the data library(readxl) mnms <- read_excel('Class MnM Data.xlsx') View the first few rows of the dataset head(mnms) ## # A tibble: 6 × 6 ## student_id id color defect total weight_grams ## <chr> <dbl> <chr> <chr> <dbl> <dbl> ## 1 AP_LV 1 r c 27 40 ## 2 AP_LV 2 r l 2...
86 sym R (961 sym/11 pcs) 2 img
project 1 Data 110
Colon Surgery data set This ’urgent colon surgery” data is a vast dataset that shows preoperative risk factors, intraoperative variables, and 30-day postoperative mortality and morbidity outcomes for patients undergoing major surgical procedures in both the inpatient and outpatient setting. There are many variables one can consider, which enc...
4533 sym R (6241 sym/27 pcs) 1 img