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AIGA Design Census Data

This repository contains the AIGA Design Census data from 2016 and 2017. Provided are both the raw data files (csv) and normalized data files (json).

Motivation

The motivation behind this repo is to provide a better formatted dataset for observation and analysis. This repository also acts as a mirror for the data provided by the AIGA Design Census.

File Structure

year/
-- parsed/
---- data.json
-- raw/
---- data.csv

Example

Here's an example record from 2017

[
  {
    "time_in_industry": "10-14 years",
    "field": [
      "Graphic Design",
      "Marketing",
      "Photography",
      "Web Design"
    ],
    "secondary_field": [
      "Brainstorming and Ideation",
      "Facilitation",
      "Leadership",
      "Mentoring",
      "Project Management"
    ],
    "employment_status": "A full-time employee at an agency or consultancy",
    "company_specialty": [
      "Advertising",
      "Branding",
      "Innovation",
      "Strategy"
    ],
    "company": "",
    "teach": "",
    "not_working_reason": "",
    "organization_size": "1-10 employees",
    "team_site": "2-4 people",
    "sectors": [
      "Advertising",
      "Arts",
      "Automotive",
      "Consulting",
      "Consumer Products",
      "Government",
      "Health Care",
      "Industrial Goods",
      "Insurance",
      "Marketing and Communications",
      "Media and Broadcasting",
      "Mining",
      "Music",
      "Publishing",
      "Retail",
      "Web Services"
    ],
    "current_employment": "Less than 1 year",
    "role": "Mid-level specialist",
    "undefined": "Looking Glass",
    "length_in_role": "Less than 1 year",
    "typical_work_hours": "41-50 hours per week",
    "annual_salary": "40000",
    "employer_perks": [
      "Education Funding",
      "Fitness Benefits"
    ],
    "job_satisfaction": "Pretty good",
    "job_stability": "Fairly stable",
    "coffee_consumption": "Other",
    "education_level": "Bachelor's degree",
    "education_methods": [
      "On my own",
      "On the job",
      "In school"
    ],
    "education_focus": [
      "Digital Media",
      "Graphic Design"
    ],
    "focus_shift_count": "Always ready for what's next",
    "stay_current_method": [
      "Discussing with peers",
      "Following design feeds",
      "Reading books/magazines",
      "Reading online publications",
      "Seeking online training"
    ],
    "membership": "None of these",
    "goals": [
      "Coding",
      "Drawing or Painting",
      "Motion Graphics",
      "Product Design",
      "Sales",
      "SEO/SEM",
      "Strategy",
      "Web Design"
    ],
    "open_to_opportunities": "Not interested in a new job right now",
    "postal_code": "76051",
    "age": "24",
    "gender": "Male",
    "sexuality": "Not LGBTQ",
    "ethnicity": "White or Caucasian",
    "challenges": [
      "Generational differences in the workforce"
    ],
    "trends": [
      "AI and machine learning",
      "Augmented Reality",
      "Behavior tracking and modeling",
      "Conversational interfaces",
      "Distributed teams and virtual workplace",
      "Image recognition",
      "Internet of Things",
      "Virtual Reality"
    ],
    "future_skills": [
      "Adaptability to tech and social change",
      "Asking good questions",
      "Communication skills",
      "Cross-functional skills",
      "Interpersonal skills",
      "Managing complexity",
      "Observation and listening",
      "Psychology and human behavior",
      "Storytelling"
    ]
  }
]

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Cleaned data from the 2016-2017 AIGA Design Census surveys

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