R Notebook

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library(ggplot2)
library(lubridate) # For easy date handling

## 
## Attaching package: 'lubridate'

## The following objects are masked from 'package:base':
## 
##     date, intersect, setdiff, union

library(tidyr)
library(dplyr)

## 
## Attaching package: 'dplyr'

## The following objects are masked from 'package:stats':
## 
##     filter, lag

## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union

df<- read.csv("GDT_Ethan_Portfolio_2025-08-04.csv")
jiradf<- df %>%  slice(1:10)

My Tabbed Section

Tab 1 Core Work

Build the Core Dashboard here

jiradf$startVal <-jiradf$Original.Estimate/ 100000

jiradf$endVal <- jiradf$Original.Estimate / 10000
 #geom_segment(linewidth = 8, color = "steelblue") +  Adjust size for bar thickness'
#geom_segment(linewidth = 8,color = ifelse(x > 21, "red", "blue")) +
ggplot(jiradf) +
  geom_segment(aes( x = startVal, xend = endVal, 
           y = Issue.key, yend = Issue.key ,color = ifelse(startVal > 5, "red", "blue")),linewidth = 8)+
  labs(title = "Project Schedule Gantt Chart",
       x = "Date",
       y = "Task") +
  theme_minimal() 

## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_segment()`).

Tab 2 Cars Plot

plot(cars)