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.


ChartAccent, a tool for Data-Driven Storytelling

March 15, 2017

his library allows you to highlight significant data from your data visualization.

Annotation is an essential part of visual data-driven storytelling. If you don’t use it properly, then you might as well tell you reader “here’s the data, go figure it out yourself”.


Nonetheless, there are few tools you may use to annotate in your SVG-based charts, such as those generated using D3. That’s why the ChartAccent.js library was invented.



This library allows you to highlight significant data from your data visualizations.  To make a chart “annotatable,” the chart creator loads the data and renders the chart. The chart creator must also create a “ChartAccent object,” register chart elements such as axes, marks, and legends as well as their metadata, and map marks with their corresponding data items as well as their default annotation form.

ChartAccent.js supports cartesian coordinate systems of linear or ordinal scales, circle or rectangle marks, polylines connecting marks within series, and bullet-style series legends.


Thus, it can be used to annotate many variants of bar charts, line graphs, and scatterplots. For other types of charts, ChartAccent.js currently provides limited support for item-based annotations.



Data team