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Project Activity

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Yellow-blue color blindness This is a less common form of color blindness. This form of the disease can affect both men and women, but the incidence is low. Only 1 in 10,000 people worldwide has yellow-blue color blindness. This condition makes it difficult for patients to distinguish between blue and green, yellow and red, and dark blue and black. There are two types of yellow-blue color blindness: Mild blue blindness (tritanomaly) makes it difficult for the patient to distinguish between blue and green and between yellow and red. Complete blue blindness (tritanopia) makes the patient unable to distinguish between blue and green, purple and red, and yellow and pink. The disease also causes the patient to see colors less brightly. Red-blue and yellow-blue color blindness affects color perception but does not affect the patient’s vision. Although people with color blindness can still see everything around them, this disease also has certain effects on the patient’s life and work. Color blindness causes patients to choose inappropriate clothing colors, have difficulty distinguishing traffic light colors, and encounter obstacles in tasks related to design, graphics,… If you want to know what type of color blindness you have, use the color blind test, an online color blindness testing tool, before going to the hospital for testing.

Read the full article on cfd-live-v2.poplar.phl.io…Published

Update #18

A Space bar counter is a tool or software that counts the number of times the spacebar on a keyboard is pressed. It is typically used for various purposes, such as measuring typing speed, monitoring user activity, or tracking the number of spaces in a document or text. Spacebar counters can be integrated into standalone software applications, browser extensions, or other software programs. Some spacebar counters may also provide additional features such as recording keystrokes, calculating typing accuracy, or generating statistics and reports.

Update #17

A Space bar counter is a tool or software that counts the number of times the spacebar on a keyboard is pressed. It is typically used for various purposes, such as measuring typing speed, monitoring user activity, or tracking the number of spaces in a document or text. Spacebar counters can be integrated into standalone software applications, browser extensions, or other software programs. Some spacebar counters may also provide additional features such as recording keystrokes, calculating typing accuracy, or generating statistics and reports.

Update #16

datahub-fe

Committed an initial commit of an Angular 2 code base for a starting point for the front end of the project.

Digging into the wireframe to create some templates.

datahub-be

Updated the documentation for how to get up and running. Using DjangoRest with a Postgres database.

Update #15

On-boarded Several Developers.

Created 2 git repositories: https://github.com/codefordurham/datahub-fe (Front End) https://github.com/codefordurham/datahub-be (Back End)

Created Waffle Boards for each repository: https://waffle.io/codefordurham/datahub-fe https://waffle.io/codefordurham/datahub-be

Started to create tickets for the two projects.

Technical decision was made to keep the front end independent of the back end.

Back End technology will be built on Django REST framework with a Postgres database.

Front End technology will be built on Angular 2 framework.

Update #14

There have been lots of starts and stops to this project over time. So, reframing this as the Data Hub project with Affordable Housing as the first implementation of the Data Hub.

Here is a link to some new specification documentation. I can easily fill out the back-end service specifications and add waffle tickets to coordinate. We will want to add a front-end developer to help define the technology direction of the front end.

https://docs.google.com/document/d/1QeH2C0AOGbty45MovZoFLEZGdZgq-5oBozoWwtEHOMc/edit?usp=sharing

I will also move forward with setting up an AWS account and explore the free tier.

Update #13

Created interactive wireframes: http://lpmo40.axshare.com/#p=iphone_frame_for_desktop_view and visual design: https://slack-files.com/files-pri-safe/T02ETHD9P-F1ZBQ6Q95/affordable-housing.pdf?c=1470787142-db1f98582b91a0008027c57af240cae680023c51 for the basic format of the website. Feedback is welcome!

Update #12

Here are some highlights of what we accomplished tonight:

We decided on a target audience we're going to focus on as the users for the firs draft of the site — Councilpeople of Durham.

We cleaned up the waffle board, and created several new waffle tickets.

We created a wiki page for running the site locally on OSX. We'll continue to build out documentation using the wiki.

We resolved 1 UI ticket re: the placeholder mobile header "Business Casual" with our "Affordable Housing" header.

We started work on determining how to integrate the pyzillow client for the Zillow api to gather data.

Update #10

  • Added a new graph for the ACS Gross Rent Percent Household Income ** The graphs were pretty cluttered ** Experimented with line, bar, stacked bar ** Experimented with rolling some of the data up ** Was pretty easy for Ron to manipulate the data and show visualizations locally

  • Worked with Sarah to bring her up to speed on the project and bounced ideas around with her to see if we could come up with a good way to show the data

  • Sarah had a great question - "What story do we want to tell?"

NEXT STEPS:

  • Need to be able to have others run the site locally
  • Need to deploy the site hosted externally
  • Need get a good grasp on the visualizations we want

Update #9

  • Created new, simpler application stack for exploring data (moved away from SF housing hub template)
  • Created Slack Channel for better remote, real time communications
  • Scheduled SME interviews with Karen Lado (Durham Aff Housing Consultant) & had call with Shoshana (Commercial Real Estate Professional)
  • Proved dynamic usage of Durham Portal data
  • Established process
  • Onboarded Jen H - Welcome!

Next Steps

  • Get current app hosted on GH pages (Ron)
  • Documenting latest app version in Github (Ron)
  • Create well-formed data for some new graphs (Ben)
  • Discuss strategy/priorities with Karen Lado (Adam)
  • Give UI feedback (Jen)

Update #8

The relative path issue for the css and links looks like it is now resolved on both the local and http://codefordurham.github.io/affordablehousing.

There is still an issue with the graphs not showing on http://codefordurham.github.io/affordablehousing, but they are showing up locally.

Update #5

  • Merged new Data Browser to master repo
  • Downloaded ACS data for Durham
  • Started consuming JSON files
  • Worked on parsing txt to csv data visualization catalog

Update #3

Attendees: Derek (database/back end), Brittany (front end), Cat (front end), Ben (data/policy), Leah (data/research), Adam (Policy/partners), Chris K (real estate perspective)

  • Cloned the DataSF Data Hub Starter project in our affordable housing repo. To join the repo, just
  • Started a waffle board to add/manage next steps
  • Onboarded new members to the project
  • Reviewed the Dec 10 affordable housing report provided by consultant Karen Lado to the City of Durham

Update #2

[Notes from Ginny] Attendees: Brittany, Anne, Ginny, Adam, Mickey, & Derek

Summary: Good discussion on the history of this team and the priorities of those who arrived. A good discussion on activities that will help in the discovery:

  • Prototype a page or two from the San Francisco Housing Data Hub (housing.datasf.org)
  • Pull data from Open Durham (ex County Population Vulnerability) into various tools such as Watson, SAS Enterprise, Pandas, …
  • Compare Durham to similar cities to assess how we are doing for affordability and accessibility to housing
  • Determine if there is data that the community could request to be added to the Open Durham site.

Next Meeting Prep (December 15)

Update #1

What's happening in community: Recent discussions with Durham CAN, Durham City Council, Self-Help, Durham Housing Authority, etc centers around downtown housing near the Durham Transportation Station, mainly re: options for

  • the use of public property to incentivize private developers to create housing developments with some affordable units, and
  • competition for limited State HUD funds for different projects.

Recent News (see great sources below)

Courtesy of Lisa Soorg and Bull City Rising blog

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Created new, simpler application stack for exploring data (moved away from SF housing hub template) Created Slack Channel for better remote, Sanford Health My Chart real time communications Scheduled SME interviews with Karen Lado (Durham Aff Housing Consultant) & had call with Shoshana (Commercial Real Estate Professional) Proved dynamic usage of Durham Portal data Established process Onboarded Jen H - Welcome! Next Steps

Get current app hosted on GH pages (Ron) Documenting latest app version in Github (Ron) Create well-formed data for some new graphs (Ben) Discuss strategy/priorities with Karen Lado (Adam) Give UI feedback (Jen)

Read the full article on www.mysanfordchart.net…Published