Daniel Chen chendaniely

## Facet by Continents
library(stringr)
library(plyr)
library(ggplot2)

parse_row <- function(row_values){
    keep <- row_values[1]
    keep <- as.character(keep)
    split_keep <- str_split_fixed(string = keep, pattern = ' ', n = 5)
    continent_code <- split_keep[1]
    country_code_2 <- split_keep[2]

## plot_edge_list.R
library(igraph)

# get my dataset from the structure.R file
source('structure.R')

# create graph from edgelist
# note it has to be a matrix, not a dataframe
g <- graph.edgelist(as.matrix(edge_list_values[, names(edge_list_values) %in%
                                             c("j_name", "i_name")]))
g

## pandas_cols_multi_variable.ipynb

      
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                chendaniely
                / pandas_cols_multi_variable.ipynb
            
            
              Created
              February 4, 2018 18:43
            
              
                Columns containing multiple bits of information
              
          
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## pandas_replace.ipynb

      
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                / pandas_replace.ipynb
            
            
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              March 28, 2018 21:26
            
              
                Pandas replacing values
              
          
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## predict_type.md

      
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                chendaniely
                / predict_type.md
            
            
              Created
              June 19, 2019 01:55
            
              
                predict type='terms'
              
          
  title
  output
  editor_options
  
  
  Predict type = 'terms'
  
  
  html_document
  
  
  keep_md
  toc
  
  
  true
  true
  
  
  chunk_output_type
  
  
  console
  
  
## bined_counts_over_regplot.ipynb

      
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                chendaniely
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              Last active
              June 11, 2020 17:42
            
              
                fitted (smooth) line that also shows the distribution of the data
              
          
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## altair_test.Rmd
---
title: "rmd altair"
output: html_document
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)

library(reticulate)

## index.Rmd
---
# Documentation: https://sourcethemes.com/academic/docs/managing-content/

title: "Creating and Adding Subtitles to Your Videos"
subtitle: ""
summary: ""
authors: []
tags: []
categories: []
date: 2020-08-27T19:51:05-05:00

## chained_indexing-base_tidyverse.R
# base R -----

mycars <- mtcars
mycars

# mpg cyl  disp  hp drat    wt  qsec vs am gear carb
# Mazda RX4           21.0   6 160.0 110 3.90 2.620 16.46  0  1    4    4
# Mazda RX4 Wag       21.0   6 160.0 110 3.90 2.875 17.02  0  1    4    4
# Datsun 710          22.8   4 108.0  93 3.85 2.320 18.61  1  1    4    1
# Hornet 4 Drive      21.4   6 258.0 110 3.08 3.215 19.44  1  0    3    1

## inplace_example.py
# tl;dr: you can't assign in place because inplace returns None

import pandas as pd
dat = pd.util.testing.makeMixedDataFrame()
print(dat)

#      A    B     C          D
# 0  0.0  0.0  foo1 2009-01-01
# 1  1.0  1.0  foo2 2009-01-02
# 2  2.0  0.0  foo3 2009-01-05
	library(stringr)
	library(plyr)
	library(ggplot2)

	parse_row <- function(row_values){
	keep <- row_values[1]
	keep <- as.character(keep)
	split_keep <- str_split_fixed(string = keep, pattern = ' ', n = 5)
	continent_code <- split_keep[1]
	country_code_2 <- split_keep[2]
	library(igraph)

	# get my dataset from the structure.R file
	source('structure.R')

	# create graph from edgelist
	# note it has to be a matrix, not a dataframe
	g <- graph.edgelist(as.matrix(edge_list_values[, names(edge_list_values) %in%
	c("j_name", "i_name")]))
	g
	---
	title: "rmd altair"
	output: html_document
	---

	```{r setup, include=FALSE}
	knitr::opts_chunk$set(echo = TRUE)

	library(reticulate)
	---
	# Documentation: https://sourcethemes.com/academic/docs/managing-content/

	title: "Creating and Adding Subtitles to Your Videos"
	subtitle: ""
	summary: ""
	authors: []
	tags: []
	categories: []
	date: 2020-08-27T19:51:05-05:00
	# base R -----

	mycars <- mtcars
	mycars

	# mpg cyl disp hp drat wt qsec vs am gear carb
	# Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
	# Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
	# Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
	# Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
	# tl;dr: you can't assign in place because inplace returns None

	import pandas as pd
	dat = pd.util.testing.makeMixedDataFrame()
	print(dat)

	# A B C D
	# 0 0.0 0.0 foo1 2009-01-01
	# 1 1.0 1.0 foo2 2009-01-02
	# 2 2.0 0.0 foo3 2009-01-05