Animated visuals

At DataPartner, one of our first aim is to put the aesthetic of our achievements at the same level that technical and scientific quality for our projects. Moreover, we can ensure the integration of our achievements in a wide graphic context if need be.

We also offer “media” services for which visualisations can be diverse by nature. As an example, we have created an animated sequence as follow (with sea surface temperature, data from NASA Earth Observations).

You have needs, we have ideas.


Did you ever needed to compile information available on the Net at regular intervals? Looking for prospects for your products or services? Identify your competitors? The need for relevant information is almost infinite, like the sources of information at your disposal (such as on the Net). Building a database for a need sometimes requires time and / or expertise in aggregating data. Automatic data collection on the Internet is another aspect of our expertise. DataPartner brings you a know-how in the automation of this task, via R programming, in order to simplify your life.


Our skills are inherited from several years dedicated to the fundamental sciences. During these years, automation was at the heart of immense progresses in terms of productivity. It has been used for the production of visualizations of analytical results (e.g. serial infographic production), or to set up protocols to optimize the use of scientific equipment (e.g. detection of limit of detection in datasets). In practice, one of our project aimed at optimizing a multi-element measuring apparatus. The definition of the minimum analysis duration, required to obtain relevant data, proved to be an important criterion. A series of different analysis durations was therefore applied. Using automation to extract and visualise data, the results (signal as a function of the analysis duration for each chemical element) were compared for each chemical element measured. As a result, it is clear (see figure below) that the measured values are regularly below the detection limit (<LOD, red dots) for duration below 100 seconds.Finally, from 150 seconds, the errors on the measurement are reduced as well as the variation on the measurement as a function of the analysis time (the straight line remains sub-horizontal). In the end, this work has reduced the time required for an accurate analysis (time saving) and protected the analytical equipment from misuse (thus extending its lifetime).

DataPartner offers you its idea box to serve you by using tailor-made solutions via R programming.

You wish to dematerialize archives? Make them searchable by filtering information present in them? We can probably help you. We know how to do it on red inpayment slip for example. If your documents contain identifiable elements that are common to each other, we dematerialize the paper archive, extract the main information and store it in a database that can be readily consulted. Do not hesitate to contact us.


In our increasingly technological society, at every moment we generate data intentionally or accidentally. It is the geolocation of our moves via our smartphones. It is the simple fact of paying with a credit card. If this information is not initially spatialized, it can be geocoded for visualisation or spatial analysis. DataPartner can go with you in your projects aimiming at this type of goal, through the use of simple and proven methods. In the context of data visualization, cartographic themes are an aspect of our know-how. As an example, below, a project to create the country data sheets, “automatically” generated, with generic data describing these states. Data are retrieved from this site.

Our skills also include spatial analysis (image segmentation, dot density map, kriging, etc.). For example, the figure below shows a project that aimed to automatically delineate the boundaries of a watershed. There are various methods for carrying out this type of analysis, some of which are free solutions. The interest of the project was to evaluate its feasibility in pure R code, by way of segmentation and automated analysis of the image. The digital elevation model (DEM) is initially segmented (left image), then the different spatial units are grouped according to their altitudinal relationships. This makes it possible to delineate the watershed whose chosen outlet  here is pointed by the red crosses at the top of the two images below.