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Singulariki

Data visualization software

Software & technology · O*NET

Data visualization software is a software tool tracked in the Analytical or scientific software category of O*NET's Technology Skills file. It appears in the technology profile of 22 occupations that together employ about 1,096,070 workers, with a median wage of $93,580.

Across the occupations that use it, the work is 81st percentile for AI task-exposure (High) — how much of what those jobs do overlaps with what today's AI can attempt. That measures the exposure of the work, not the value of the tool or any sign it is being replaced. See where every tool category sits →

Occupations that use this tool

Occupations whose O*NET technology profile lists Data visualization software, ranked by employment. Wage and employment are BLS OEWS (national, cross-industry, May 2024) and describe the occupation, not an individual or the tool's own market.

Occupation Workers Median pay
Financial and Investment Analysts 340,580 $101,350
Solar Energy Systems Engineers 150,750 $117,750
Librarians and Media Collections Specialists 131,830 $64,320
Intelligence Analysts 110,790 $93,580
Bioinformatics Scientists 59,710 $93,330
Financial Risk Specialists 56,320 $106,000
Art Directors 50,370 $111,040
Computer and Information Research Scientists 38,480 $140,910
Biostatisticians 29,800 $103,300
Communications Teachers, Postsecondary 29,260 $77,800
Advertising and Promotions Managers 21,100 $126,960
Biofuels Processing Technicians 15,950 $61,710
Career/Technical Education Teachers, Middle School 14,200 $63,620
Epidemiologists 11,460 $83,980
Anthropologists and Archeologists 8,070 $64,910
Political Scientists 5,950 $139,380
Statistical Assistants 5,900 $51,440
Hydrologists 5,720 $92,060
Bioinformatics Technicians 4,660 $71,490
Sociologists 2,950 $101,690
Mathematicians 2,220 $121,680
Travel Guides
Exposure quadrant: AI task-overlap percentile vs Median pay AI task-overlap (horizontal) versus median pay (vertical), each as a percentile across all scored occupations, for 21 occupations in occupations that use Data visualization software. Overlap measures shared tasks with AI, not automation. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Biofuels Processing Technicians Career/Technical Education Teachers, Middle School Intelligence Analysts Computer and Information Research Scientists Solar Energy Systems Engineers Epidemiologists Communications Teachers, Postsecondary Financial Risk Specialists Statistical Assistants Bioinformatics Technicians AI task-overlap percentile → ↑ Median pay
Occupations that use Data visualization software, by AI task-overlap and median pay

Related tools

Other software in the Analytical or scientific software category.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Data visualization software." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026. https://singulariki.com/software/data-visualization-software

APA

Singulariki. (2026). Data visualization software. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/software/data-visualization-software

BibTeX
@misc{singulariki-data-visualization-software,
  title  = {Data visualization software},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
  url    = {https://singulariki.com/software/data-visualization-software}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.