Companies that use ggplot2
It is a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers.
1,561
companies
List of companies using ggplot2
curl --request POST \
--url "https://api.theirstack.com/v1/companies/search" \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer <api_key>" \
-d "{
\"company_technology_slug_or\": [
\"ggplot2\"
]
}"Technology
is any of
ggplot2
Employees703Revenue$1.5MHospitals and Health Careggplot2High confidence
Employees34kRevenue$18BManufacturingggplot2High confidence
Employees21kRevenue$4.1BHospitals and Health Careggplot2High confidence
Employees1kRevenue$39MSoftware Developmentggplot2High confidence
Employees40kRevenue$9.6BMedical and Diagnostic Laboratoriesggplot2High confidence
Employees440Revenue$5MSoftware Developmentggplot2High confidence
Employees7.5kPharmaceutical Manufacturingggplot2High confidence
Employees500Software Developmentggplot2High confidence
Employees16IT Services and IT Consultingggplot2High confidence
Employees48IT Services and IT Consultingggplot2High confidence
We have data on 1,561 companies and users that use ggplot2. Our ggplot2 users and customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Technology Usage Statistics and Market Share
How to target ggplot2 users
- How to customize this list?
You can customize this data to your needs by filtering for geography, industry, company size, revenue, technology usage, job postions and more. You can download the data in Excel or CSV format.
- How to be alerted when companies adopt this technology?
You can get alerts for this data. You can get started by selecting the technology you are interested in and then you will receive alerts in your inbox when there are new companies using that technology.
- How to import this data to my CRM?
You can export this data to an Excel file, which can be imported into your CRM. You can also export the data to an API.
Frequently asked questions
Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.
We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.
ggplot2 is a widely used data visualization package in the R programming language. Known for its flexible and powerful capabilities, ggplot2 allows users to create stunning and informative charts, plots, and graphics with ease. Developed by Hadley Wickham, ggplot2 follows the philosophy of the Grammar of Graphics, which emphasizes building visualizations layer by layer through a structured approach. This methodology enables users to easily customize and modify plots to suit their specific needs, making ggplot2 a popular choice among data analysts and researchers.
As a part of the Charting Libraries category, ggplot2 focuses on providing users with a wide range of tools and functionalities to create visually appealing and insightful charts. Whether it's generating scatter plots, bar charts, histograms, or more complex visualizations like box plots and heat maps, ggplot2 excels in helping users effectively communicate their data findings. By offering a high level of customization and interactivity, ggplot2 empowers users to convey complex data relationships in a clear and engaging manner.
Founded by Hadley Wickham in 2006, ggplot2 was created to address the limitations of existing data visualization tools in the R ecosystem. Wickham's motivation was to develop a package that promotes a declarative and consistent approach to creating graphics, simplifying the process for users while maintaining the flexibility to handle diverse datasets and visualization requirements. Since its inception, ggplot2 has gained widespread adoption and acclaim within the data science community, setting a new standard for data visualization in R.
In terms of current market share, ggplot2 continues to be a dominant force in the Charting Libraries category, with a strong presence in both academic and industry settings. Its user-friendly interface, robust functionality, and active community support have contributed to its sustained popularity. With the growing emphasis on data-driven decision-making and the increasing demand for sophisticated visualizations, ggplot2 is poised to maintain its market position and even expand its user base in the future. As organizations increasingly recognize the value of data visualization in driving insights and decision-making, ggplot2 is likely to experience continued growth and adoption within the data analysis and visualization landscape.