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Sophie Engle sjengle
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sjengle
/ Affordability_Wide_2015Q3_Public.csv
Last active
February 24, 2016 00:32
Zillow Affordability Heatmap
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| "RegionID","RegionName","SizeRank","Index","HistoricAverage_1985thru1999","1979-03","1979-06","1979-09","1979-12","1980-03","1980-06","1980-09","1980-12","1981-03","1981-06","1981-09","1981-12","1982-03","1982-06","1982-09","1982-12","1983-03","1983-06","1983-09","1983-12","1984-03","1984-06","1984-09","1984-12","1985-03","1985-06","1985-09","1985-12","1986-03","1986-06","1986-09","1986-12","1987-03","1987-06","1987-09","1987-12","1988-03","1988-06","1988-09","1988-12","1989-03","1989-06","1989-09","1989-12","1990-03","1990-06","1990-09","1990-12","1991-03","1991-06","1991-09","1991-12","1992-03","1992-06","1992-09","1992-12","1993-03","1993-06","1993-09","1993-12","1994-03","1994-06","1994-09","1994-12","1995-03","1995-06","1995-09","1995-12","1996-03","1996-06","1996-09","1996-12","1997-03","1997-06","1997-09","1997-12","1998-03","1998-06","1998-09","1998-12","1999-03","1999-06","1999-09","1999-12","2000-03","2000-06","2000-09","2000-12","2001-03","2001-06","2001-09","2001-12","2002-03","2002-06","2002-09", |
sjengle
/ MarketHealthIndex_State.csv
Last active
February 24, 2016 19:41
Zillow Market Health Bubble Chart
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| "RegionType","RegionName","City","State","Metro","CBSATitle","SizeRank","MarketHealthIndex","SellForGain","PrevForeclosed","ForeclosureRatio","ZHVI","MoM","YoY","ForecastYoYPctChange","StockOfREOs","NegativeEquity","Delinquency","DaysOnMarket" | |
| "State","Alaska",,"AK",,,,9.6,85.46,,,263900,0.456794822992006,3.00546448087432,0.0544410761652141,12.2,0.133051017998153,0.0127879928929157,89 | |
| "State","Alabama",,"AL",,,,2,79.11,11.2475,5.3108,122700,0.0815660685154976,0.491400491400491,0.033716381418093,25.8,0.163747493402736,0.03344252224344,128 | |
| "State","Arkansas",,"AR",,,,4.2,77.42,6.4771,2.5227,115100,0.261324041811847,3.3213644524237,0.0291920069504779,31.5,0.146923643975339,0.030851303923143,110 | |
| "State","Arizona",,"AZ",,,,4.6,81.91,7.9186,3.357,204200,0.789733464955577,7.58693361433088,0.0365915768854064,73,0.176208332385921,0.0250151422782854,76 | |
| "State","California",,"CA",,,,7.4,88.7,6.412,2.2965,454700,0.530621269069202,6.31283610007014,0.029566747305916,56.8,0.0944519577924134,0.0339595696138096,74 | |
| "Stat |
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| license: mit |
This CSV file was generated by downloading the latest Java 8 SDK Documentation at:
http://www.oracle.com/technetwork/java/javase/documentation/jdk8-doc-downloads-2133158.html
Then, the directory structure was processed in Python to generate a datafile with the following format:
| name | size |
|---|
This gist provides a D3.js friendly "Coauthorship in Network Science" graph as a JSON file. It is used in the example at:
🔗 https://bl.ocks.org/sjengle/f6f522f3969752b384cfec5449eacd98
Source: M. E. J. Newman, Finding Community Structure in Networks using the Eigenvectors of Matrices, Preprint Physics/0605087 (2006). [Data] [Paper]
The original dataset was retreived from http://www-personal.umich.edu/~mejn/netdata/ under the "Data sets" heading, cited as:
In this demo, we asynchronously load a text file, use JavaScript to count the number of times each letter appears in that file, and generate a bar chart showing the letter count in D3.js v5.
This is meant to be an introductory demo to expose students to HTML, CSS, JavaScript, D3.js, bl.ocks.org, and blockbuilder.org for the first time.
This is based off the following example:
This example will demonstrate how to prototype a bubble chart in Tableau Desktop and then implement a version of that bubble chart in D3.js version 5.
The data comes from Opportunity Insights, which is a "non-partisan, not-for-profit organization based at Harvard University" that puts out public datasets produced for on their research.
We will specifically use data from the Mobility Report Cards project. The dataset is titled "Mobility Report Cards: Preferred Estimates of Access and Mobility Rates by College" and can be accessed via these direct links:
This CSV file was generated by downloading the latest Java 11 SDK Documentation at:
https://www.oracle.com/technetwork/java/javase/documentation/index.html
Then, the directory structure was processed in Python to generate a datafile with the following format:
| name | size |
|---|
In this demo, we asynchronously load a text file, use JavaScript to count the number of times each letter appears in that file, and generate a bar chart showing the letter count in D3.js.
This is meant to be an introductory demo to expose students to HTML, CSS, JavaScript, D3.js, bl.ocks.org, and blockbuilder.org for the first time.
Below you can find videos related to this demo. Please note that some content is discussed in-class only.
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