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import pandas as pd | |
import numpy as np | |
import matplotlib.pyplot as plt | |
import dowhy | |
from dowhy import CausalModel | |
import networkx as nx | |
import math | |
import sklearn | |
from sklearn import preprocessing | |
from sklearn.model_selection import train_test_split |
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# Replicate Bob's results from this LinkedIn post: | |
# https://www.linkedin.com/posts/bob-wilson-77a22ab_people-sometimes-say-ab-testing-requires-activity-7152792859878871040-X1Sr?utm_source=share&utm_medium=member_desktop | |
### Implement Fisher's Exact Test | |
# Create the contingency table | |
contingency_table <- matrix(c(0, 4, 7, 3), nrow = 2) | |
dimnames(contingency_table) <- list(c("Control", "Treatment"), |
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# Load Required Libraries | |
if (!require("MASS")) install.packages("MASS") | |
library(MASS) | |
# Define TV Shows | |
# A vector of TV show titles | |
tv_shows <- c( | |
"Breaking Bad", "Game of Thrones", "The Wire", | |
"Stranger Things", "The Crown", "Mad Men", | |
"The Sopranos", "Friends", "The Office", |
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# load packages | |
library(tidyverse) | |
library(tidytuesdayR) # Used for loading datasets from the TidyTuesday project | |
# load datasets | |
tuesdata <- tidytuesdayR::tt_load('2023-11-28') | |
drwho_episodes <- tuesdata$drwho_episodes | |
drwho_directors <- tuesdata$drwho_directors | |
drwho_writers <- tuesdata$drwho_writers |
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# purpose: visualize linear trend for all data and subset of data | |
# libraries | |
library(dplyr) | |
library(ggplot2) | |
# read data | |
d <- read.csv("mycsvfile.csv") | |
# quickl look |
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# purpose: helper script to determine my max heart rate | |
# load libraries | |
library(dplyr) | |
library(rethinking) | |
#### Read and Filter Data ---- | |
# grab data |
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--- | |
title: "Is-Behavior-Change-Happening" | |
author: "frank-corrigan" | |
date: "3/9/2022" | |
output: html_document | |
--- | |
```{r setup, include=FALSE} | |
knitr::opts_chunk$set(echo = TRUE) |
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--- | |
title: "Marathon-Insights" | |
author: "frank-corrigan" | |
date: "3/1/2022" | |
output: html_document | |
--- | |
```{r setup, include=FALSE} | |
knitr::opts_chunk$set(echo = TRUE) |
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# toy simulation to determine how likely or | |
# unlikely the poll results from blog post | |
# are (Do you plan to relocate in 2022?) | |
# load packages | |
library(dplyr) | |
library(ggplot2) | |
# Single Instance ---- |
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from tabula.io import read_pdf | |
import pandas as pd | |
import matplotlib.pyplot as plt | |
# set path to file | |
pdf_path = "Container-Vessels-In-Port.pdf" | |
# creates a python list, each page is a list item stored as pandas df | |
dfs = read_pdf(pdf_path, stream=True, pages='2-10') |
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