Publications by Daniel Lee
Apply 3
Import data # excel file data <- read_excel("data/Chocolate.xlsx") data ## # A tibble: 191 × 10 ## https://www…¹ compa…² compa…³ revie…⁴ count…⁵ speci…⁶ cocoa…⁷ ingre…⁸ most_…⁹ ## <dbl> <chr> <chr> <dbl> <chr> <chr> <dbl> <chr> <chr> ## 1 2454 5150 U.S.A. 2019 Tanzan...
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title: “Week 9 : Code Analog 8” author: “Jak Jallah” date: “2023-01-13” output: html_document editor_options: chunk_output_type: console nycflights13 airlines ## # A tibble: 16 × 2 ## carrier name ## <chr> <chr> ## 1 9E Endeavor Air Inc. ## 2 AA American...
206 sym Python (11073 sym/59 pcs) 1 tbl
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Import Data # excel file Chocolate <- read_excel("../00_data/Chocolate.xlsx") Chocolate ## # A tibble: 191 × 10 ## ref compan…¹ compa…² revie…³ count…⁴ speci…⁵ cocoa…⁶ ingre…⁷ most_…⁸ rating ## <dbl> <chr> <chr> <dbl> <chr> <chr> <dbl> <chr> <chr> <dbl> ## 1 2454 5150 U.S.A. 2019 T...
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Tidy Data Pivoting long to wide form table4a_long <- table4a %>% pivot_longer(cols = c('1999', '2000'), names_to = "year", values_to = "cases") Wide to long table4a_long %>% pivot_wider(names_from = year, values_from = cases) ## # A tibble: 3 × 3 ## country `1999` `2000` ## <chr> <in...
150 sym Python (1848 sym/11 pcs)
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Import your data data <- read_excel("../00_data/myData.xlsx") ## New names: ## • `` -> `...1` data ## # A tibble: 4,810 × 24 ## ...1 rank position hand player years total…¹ status yr_st…² season age ## <dbl> <dbl> <chr> <chr> <chr> <chr> <dbl> <chr> <dbl> <chr> <dbl> ## 1 1 1 C Left Wayne G… 19...
448 sym Python (3243 sym/10 pcs)
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Introduction nycflights13 Keys Mutating joins x <- tribble( ~key, ~val_x, 1, "x1", 2, "x2", 3, "x3" ) y <- tribble( ~key, ~val_y, 1, "y1", 2, "y2", 4, "y3" ) inner_join(x,y) ## Joining, by = "key" ## # A tibble: 2 × 3 ## key val_x val_y ## <dbl> <chr> <chr> ## 1 1 x1 y1 ## 2 2 x2 y2 O...
192 sym Python (5344 sym/43 pcs)
Homework #1
Welcome Ch1 Introduction The data science project workflow Prerequisites R RStudio r packages Install the tidyverse package Running R code 1+2 ## [1] 3 Getting help Google Stackoverflow Ch2 Introduction to Data Exploration Ch3 Data Visualization Set up library(tidyverse) data mpg ## # A tibble: 234 × 11 ## manufacturer model ...
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Best Practices 1
Chapter 1 It’s Not Just about Forecasting The following are the key points in the chapter. Elaborate on each point in at least 30 words. Understanding economics can help you to diagnose the causes of increases or decreases in sales volumes and costs. Businomics is able to provide different tools that we would need to use to understand differe...
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week 02
Welcome Ch1 Introduction The data science project workflow Prerequisites R RStudio r packages Install the tidyverse package Running R code 1+2 ## [1] 3 Getting help Google Stackoverflow Ch2 Introduction to Data Exploration Ch3 Data Visualization Set up data library(tidyverse) mpg ## # A tibble: 234 × 11 ## manufacturer model ...
1376 sym R (1744 sym/11 pcs) 7 img
Apply it to your data
Welcome 1+2 ## [1] 3 Getting help Google Stackoverflow Ch3 Data Visualization data library(tidyverse) mpg ## # A tibble: 234 × 11 ## manufacturer model displ year cyl trans drv cty hwy fl class ## <chr> <chr> <dbl> <int> <int> <chr> <chr> <int> <int> <chr> <chr> ## 1 audi a4 1.8 1999 ...
105 sym R (17755 sym/16 pcs) 2 img