We are all data scientists by nature. Since we were born we are analyzing data, looking at the world and keeping with most the relevant of it, we learn complex patterns from past, applying them today and therefore we anticipate to what's going on.
Some of the technologies we use
Some of our projects
Find relations between variables
Automatic statistical reporting
Create HTML reports automatically
Basic text mining
Find patterns in text data
Find patterns and describe them as decisions
Analyze geographical data
Time series forecasting
Forecast future values of a time series
Web application combining data scraping, data visualization and time series forecasting.
Client needed statistical reporting about each variable in his data set. A survey of thousands of cases.
After the cleaning stage, a process developed in the R statistical language creates a HTML web page for each variable in data set, containing the most common statistics: average, standard deviation, min, max, percentiles.
Also it shows several fancy graphs (made with ggplot2 R library), showing variable distribution and the amount of empty cases.