kevinwang kevinwang09

## multiple_ssh_setting.md

      
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                kevinwang09
                / multiple_ssh_setting.md
            
            
              Created
              July 29, 2022 12:28
                — forked from jexchan/multiple_ssh_setting.md
            
              
                Multiple SSH keys for different github accounts
              
          
    Multiple SSH Keys settings for different github account

create different public key

create different ssh key according the article Mac Set-Up Git
$ ssh-keygen -t rsa -C "your_email@youremail.com"


## airport_data_12June2021.csv
rank	airport1	airport2	distance	passengers	type
1	Jeju	Seoul-Gimpo	449	14107414	Domestic
2	Sapporo	Tokyo-Haneda	835	9698639	Domestic
3	Sydney	Melbourne	705	9245392	Domestic
4	Fukuoka	Tokyo-Haneda	889	8762547	Domestic
5	Mumbai	Delhi	1150	7392155	Domestic
6	Hanoi	Ho Chi Minh City	1171	6867114	Domestic
7	Beijing	Shanghai-Hongqiao	1081	6518997	Domestic
8	Hong Kong	Taipei-Taoyuan	802	6476268	International
9	Tokyo-Haneda	Naha	1573	5829712	Domestic

## city_tbl.csv

          
            city
            lon
            lat

            
              Jeju
              126.5311884
              33.4996213

            
              Sapporo
              141.3544507
              43.0617713

            
              Sydney
              151.2092955
              -33.8688197

            
              Fukuoka
              130.4016888
              33.5901838

            
              Mumbai
              72.8776559
              19.0759837

            
              Hanoi
              105.8341598
              21.0277644

            
              Beijing
              116.4073963
              39.90419989999999

            
              Hong Kong
              114.1693611
              22.3193039

            
              Tokyo
              139.6503106
              35.6761919

## conf_mat.R
#' Confusion Matrix for Categorical Data
#'
#' Calculates a cross-tabulation of observed and predicted classes.
#'
#' For [conf_mat()] objects, a `broom` `tidy()` method has been created
#' that collapses the cell counts by cell into a data frame for
#' easy manipulation.
#'
#' There is also a `summary()` method that computes various classification
#' metrics at once. See [summary.conf_mat()]

## r-to-python-data-wrangling-basics.md

      
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                kevinwang09
                / r-to-python-data-wrangling-basics.md
            
            
              Last active
              January 2, 2022 06:26
                — forked from conormm/r-to-python-data-wrangling-basics.md
            
              
                R to Python: Data wrangling with dplyr and pandas
              
          
    R to python data wrangling snippets

The dplyr package in R makes data wrangling significantly easier.
The beauty of dplyr is that, by design, the options available are limited.
Specifically, a set of key verbs form the core of the package.
Using these verbs you can solve a wide range of data problems effectively in a shorter timeframe.
Whilse transitioning to Python I have greatly missed the ease with which I can think through and solve problems using dplyr in R.
The purpose of this document is to demonstrate how to execute the key dplyr verbs when manipulating data using Python (with the pandas package).
dplyr is organised around six key verbs:

  
## additional_features.md

      
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                kevinwang09
                / additional_features.md
            
            
              Last active
              June 21, 2020 02:25
            
              
                scMerge maintainance notes
              
          
GitHub Actions is used to


Deploy pkgdown on the origin/gh-pages branch of the repo
Run R CMD check on the package using Linux/Windows/Mac machines.
Trigger kevinwang09/scmerge_docker repo's own GitHub Actions, which will trigger a Docker build of the package based on the Bioconductor's base image. This Docker will then be pushed to kevinwang09/scmerge on DockerHub.


Codecov is used for checking the coverage of unit testing.


## jhub.md

      
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                kevinwang09
                / jhub.md
            
            
              Created
              November 26, 2019 07:00
            
          
    JupyterHub  on Google Cloud

Instructions on deploying a JupyterHub on Google Cloud
Aim

The aim of this repo is to document the steps needed to deploy a JupyterHub (JH) on Google Cloud (GC). We will perform additional steps to make sure we can run R codes as well.
Deploying JH (The Littlest)


## DropletUtils_install.log
> install("DropletUtils")
Bioconductor version 3.10 (BiocManager 1.30.7), R 3.6.1 (2019-07-05)
Installing package(s) 'DropletUtils'
trying URL 'https://bioconductor.org/packages/3.10/bioc/src/contrib/DropletUtils_1.5.10.tar.gz'
Content type 'application/x-gzip' length 446056 bytes (435 KB)
==================================================
downloaded 435 KB

* installing *source* package ‘DropletUtils’ ...
** using staged installation
	rank airport1 airport2 distance passengers type
	1 Jeju Seoul-Gimpo 449 14107414 Domestic
	2 Sapporo Tokyo-Haneda 835 9698639 Domestic
	3 Sydney Melbourne 705 9245392 Domestic
	4 Fukuoka Tokyo-Haneda 889 8762547 Domestic
	5 Mumbai Delhi 1150 7392155 Domestic
	6 Hanoi Ho Chi Minh City 1171 6867114 Domestic
	7 Beijing Shanghai-Hongqiao 1081 6518997 Domestic
	8 Hong Kong Taipei-Taoyuan 802 6476268 International
	9 Tokyo-Haneda Naha 1573 5829712 Domestic
city	lon	lat
Jeju	126.5311884	33.4996213
Sapporo	141.3544507	43.0617713
Sydney	151.2092955	-33.8688197
Fukuoka	130.4016888	33.5901838
Mumbai	72.8776559	19.0759837
Hanoi	105.8341598	21.0277644
Beijing	116.4073963	39.90419989999999
Hong Kong	114.1693611	22.3193039
Tokyo	139.6503106	35.6761919
	#' Confusion Matrix for Categorical Data
	#'
	#' Calculates a cross-tabulation of observed and predicted classes.
	#'
	#' For [conf_mat()] objects, a `broom` `tidy()` method has been created
	#' that collapses the cell counts by cell into a data frame for
	#' easy manipulation.
	#'
	#' There is also a `summary()` method that computes various classification
	#' metrics at once. See [summary.conf_mat()]
	> install("DropletUtils")
	Bioconductor version 3.10 (BiocManager 1.30.7), R 3.6.1 (2019-07-05)
	Installing package(s) 'DropletUtils'
	trying URL 'https://bioconductor.org/packages/3.10/bioc/src/contrib/DropletUtils_1.5.10.tar.gz'
	Content type 'application/x-gzip' length 446056 bytes (435 KB)
	==================================================
	downloaded 435 KB

	* installing source package ‘DropletUtils’ ...
	** using staged installation