Super Bowl 54 is only 2 days away so we decided to analyze the upcoming game by pulling some data from ESPN.com. We used R to scrape the data from the San Francisco 49ers and Kansas City Chiefs stats pages. The data were then cleaned and transformed slightly to make ingestion into Tableau Public simple. […]
Author Archives: Tanya
Linear Programming for an NFL Daily Fantasy Optimizer
The NFL season is back in full swing. If you’re a sports and data nerd like myself, you’re ready to flex some of your analytical skills to try and beat all your friends in your fantasy leagues. Or you can take a crack at Daily Fantasy, which involves picking players and forming a team based […]
Game of Tweets: An Analysis of Reactions to the Game of Thrones Series Finale
Game of Thrones has finally wrapped up after 8 seasons. Naturally, watchers have been outspoken about their opinions of the series finale and the final season altogether. Now that we’ve had a few days to recover, we wanted to analyze watcher reactions and see if we could add some structure to our understanding of these […]
Strategies to Hire the Best Data Team for your Organization
Demand for Data Skills Continues to Rise Over the past 10 years we’ve seen an explosion in the generation of data, coupled with the rise of the data scientist to help make sense of this ever-expanding corpus of information. Technological advancements in AI, machine learning and computational power have increased the impact that these scientists […]
Data Entry Errors – the Human Component and Intelligent Cleansing
Manual data entry still represents a significant portion of data collection processes across a variety of industries. Any company that assigns humans to conduct data collection will see data entry errors. These errors may appear insignificant, such as a code entered as “ABCD” instead of “AVCD”, but they can be very costly. Remote data entry […]
Visualizing the Drug Manufacturing Process within the Pharmaceutical Industry
During the Data Science Plenary Panel at Bio-IT World 2018, Tanya Cashorali of TCB Analytics highlighted some innovative use cases for data science in the pharmaceutical and biotech industries. These use cases span drug manufacturing, clinical enrollment, and bioinformatics. For an example of one use case, here’s an in-depth look at how we helped Biogen, […]
TCB Analytics to Present on Shiny Application Development at RStudio::Conf 2018
We are excited to attend our first RStudio conference in San Diego, CA this year. There is an all-star line-up of speakers including: JD Long – “The unreasonable effectiveness of empathy” Mara Averick – “Phrasing: communicating data science through tweets, gifs, and classic misdirection” David Robinson – “Teach the Tidyverse to beginners” There is also […]
Tanya Cashorali Presents at Strata 2017 in NYC on How to Hire and Test for Data Skills
Most people agree that interviewing is one of the most difficult and least enjoyable professional activities. Given the recent demand for data analytics and data science skills, it has become an increasingly daunting task for managers to adequately test and qualify candidates. Interviewing hundreds of individuals of varying backgrounds requires a more efficient way of […]
TCB Analytics Presenting at EARL Boston 2017 on Using Shiny for Commercial Applications
TCB Analytics Founder, Tanya Cashorali, will be presenting at EARL Boston 2017 on “When and Why to Use Shiny for Commercial Applications”. She will be talking about building data products and at TCB Analytics, we always start with the question(s) we want to answer first. We then immediately begin to identify relevant data sets that […]
Mara Averick Presents for Metis’ “Demystifying Data Science” Online Conference
Recently Metis held a free online conference entitled “Demystifying Data Science”. There was a plethora of fantastic talks given by leaders in the field, including our own, Mara Averick, better known on Twitter as dataandme. Mara has amassed quite the following via her always informative, interesting and easy-to-understand tweets about all things relating data science. […]