SCRAPINGWe provide data scraping solutions for structured and unstructured website data, using Python, R, and other tools.
DATA VISUALIZATIONWe use state-of-the-art tools like D3.js, ggplot2, shiny to create the most intuitive and revealing visualizations possible.
TRAININGIndividual and group training sessions on a variety of topics from our army of PhD's.
R PROGRAMMINGWe provide expert R programming to meet any needs, including package development, debugging, shiny apps, and more.
STATISTICAL INFERENCEWe implement a host of statistical and machine learning methods for inference,
BUSINESS RECOMENDATIONSWe implement a host of statistical and machine learning methods for inference,
BIG DATA VISUALIZATION
With the increased amount and complexity attributable to Big Data, communicating the information mined from Big Data has increased in importance. Data visualization is now conceptualized as telling a narrative, and this concept underlies the work of authors who have addressed the topic.Read more
Data analysis is an important part of data science, and one of the key concepts the authors define is the ability to think data-analytically. This involves “identifying appropriate data and consider[ing] appropriate methods” through which to analyze and use it.Read more
In their book Data Science for Business: What You Need to Know About Data Mining and Data-Analytic Thinking, Foster Provost and Tom Fawcett, define data science as “a set of fundamental principles that guide the extraction of knowledge from data.”Read more
STATISTICAL DATA ANALYSIS
Statistical data analysis is made possible because variability exists in any collection of items, measurements, or phenomena. A company’s sales, both quantities and amounts, differ from month to month, as do its expenditures.Read more