We help you to get and organize information from public data or different websites with scrapping.


We structure databases with information from multiple databases in multiple formats. Organization of information and standardization of variables.

Visualization apps

We create public data visualization applications so that your users can know and explore databases. We use the latest technologies in data visualization to communicate information.


We implement artificial intelligence algorithms to facilitate your work with data, from predictive algorithms to pattern recognition.

Web specials

We develop interactive web specials based on data. The specials have different visual components to guide your readers. See examples of our specials.

About us

Datasketch is a digital platform of investigative and data journalism. Our portal allows journalists, data scientists, social scientists and citizens in general to learn and consult on data visualizations, tools, software and in-depth research on various short-term issues. We have free data tools and different projects to bridge the gap between data and citizenship that facilitates the democratization of knowledge and a critical review of social realities based on information contrasts.

Our team

Juan Pablo Marín

Electronic engineer with a master's degree in computational statistics. Expert in data science with applications in multiple areas such as economics, hydrology and journalism.

Camila Achuri

Statistics and expert in R programming language. She has developed various applications of data visualization in mobility and open data subjects.

Juliana Galvis

Politologist and candidate for a Master in Digital Humanities. She is currently leading the development of the Who Is database, as well as supporting journalistic research and the creation of databases.

David Daza

Bachelor of Electronics. Expert in development of applications and websites with emphasis on data journalism and content management of multiple databases.

Verónica Toro

Anthropologist and researcher. Responsible for the management and organization of the data-community in Colombia and Latin America and provide support in journalistic investigations and the creation of databases.

Mariana Villamizar

Systems engineer and designer. Expert in user experience, data visualization and graphic communication. Feminist.


Learn statistics through #dataviz

March 06, 2017

Seeing Theory allows you to learn statistics using interactive visualizations. 


Lee la versión en español aquí.


It is a fact that data and statistics are in vogue. That is why the tools to visualize any type of information are becoming a powerful tool to encourage society to be interested in using these new technologies through specialized software.

Seeing Theory is a new tool designed for statisticians and mathematicians who want to understand probability theories in a simpler way. The answer? Use visualization tools.


The tool has been developed by Daniel Kunin with the support of Brown University taking advantage of the Royce Fellowship Program and the STATS4STEM group of the National Science Foundation.

For Kuin this tool is fundamental if one understands that statistics has become the most important interdisciplinary science and it is fundamental to diminish ignorance in the subject in a society that works based on data and technology.

Thus Seeing Theory uses the D3.js software to exemplify some of the basic concepts of statistics, exposing key ideas of probability, such as the randomness of certain events, calculating data and quantifying results.


Data team