Alyson La alysonla

## animated_cv.R
library(ggplot2)
library(tidyr)
library(dplyr)
library(maps)
library(gganimate)

WorldData <- map_data('world')
#WorldData %>% filter(region != "Antarctica") -> WorldData
WorldData <- fortify(WorldData)

## README.md

      
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                alizauf
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                Data Storytelling with Coördinator
              
          
    A simple example demonstrating how Coördinator could be used to intersperse relevant, non-data-driven elements into a data story. The runner and Olympic logo are comprised of the circles representing relevant athletes.
Olympic data from: https://www.teamusa.org/road-to-rio-2016/team-usa/athletes
Runner icon by Christian Brunner: https://thenounproject.com/chbrunne/
Olympic logo: https://commons.wikimedia.org/wiki/File:United_States_Olympic_Committee_logo_2.svg

  
## big_query_examples.md

      
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                arfon
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                BigQuery Examples for blog post
              
          
    How many times shouldn't it happen...

-- https://news.ycombinator.com/item?id=11396045

SELECT count(*)
FROM (SELECT id, repo_name, path
        FROM [bigquery-public-data:github_repos.sample_files]
 ) AS F

  
## QCon2016-AMC.md

      
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                acolyer
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                References for my QCon London 2016 Keynote
              
          
    References from my QCon London 2016 Keynote


The Morning Paper blog

Thinking Tools


Scalability! But at what COST?
Tachyon: Reliable, Memory Speed Storage for Cluster Computing
Musketeer - Part I: What's the best data processing system?
Musketeer - Part II: all for one, and one for all in data processing systems


## README.md

      
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                susielu
                / README.md
            
            
              Created
              March 13, 2014 10:59
            
              
                Gephi + d3.js. Fixed network, dynamic labels.
              
          
    This example creates a fixed network graph with dynamic labels using d3.js. The network layout and placement of the nodes and edges was calculated in Gephi and then exported as the graph.json file.
This was inspired from these gists by Mike Bostock: Force-Directed Graph, Multi-Foci Force Layout

  
## excel2mysql.py

# following Python packages needs to be installed
# xlrd, xlsxrd, unidecode, MySQLdb

import xlrd
import xlsxrd
import MySQLdb as mdb
import re
import unidecode
	library(ggplot2)
	library(tidyr)
	library(dplyr)
	library(maps)
	library(gganimate)

	WorldData <- map_data('world')
	#WorldData %>% filter(region != "Antarctica") -> WorldData
	WorldData <- fortify(WorldData)

	# following Python packages needs to be installed
	# xlrd, xlsxrd, unidecode, MySQLdb

	import xlrd
	import xlsxrd
	import MySQLdb as mdb
	import re
	import unidecode