# tcbanalytics.com

> AI-optimized mirror of tcbanalytics.com containing 50 pages totalling 19,206 words of clean markdown content, structured data, and semantic HTML. Original source: https://tcbanalytics.com/. Last updated: 2026-06-15T05:10:28.178Z.

Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG).

## Homepage

- [How We Can Help](/content/site-root.html) (251 words)

## Articles & Blog Posts

- [OpenVis Conf Overview](/content/author/mara-averick/index.html) (59 words)
- [2019/02/27/strategies-to-hire-the-best-data-team-for-your-organization.html](/content/2019/02/27/strategies-to-hire-the-best-data-team-for-your-organization.html) (1 words)
- [2017/03/20/3s-get-degrees-tourney-wins/index.html](/content/2017/03/20/3s-get-degrees-tourney-wins/index.html) (1 words)
- [OpenVis Conf Summary](/content/category/data-visualization/page/2/index.html): - Page 2 (233 words)
- [Launching the Certification Program](/content/2020/04/08/rstudio-certification-program-insights-interview-with-greg-wilson.html): Since its inception in 2009, a main goal of the RStudio community has been improving the accessibility of R within and beyond data science. Education is an important component of that plan. To help extend the capabilities of their internal teams, RStudio has helped create a network of partners and teachers to help develop and (893 words)
- [Super Bowl 54 Matchup Visualization](/content/2020/02/01/superbowl-54-matchup-visualization/index.html): 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. (703 words)
- [Background](/content/2018/05/15/visualizing-the-drug-manufacturing-process-within-the-pharmaceutical-industry.html): 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, (894 words)
- [Game of Tweets: An Analysis of Reactions to the Game of Thrones Series Finale](/content/2019/05/24/game-of-tweets-an-analysis-of-reactions-to-the-game-of-thrones-series-finale.html): 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 (456 words)
- [Setting the Stage](/content/2023/10/30/extracting-insights-from-sports-news-articles-using-snowflake-llama-index-and-openai.html): In today's world, staying updated with the latest news and information is crucial. One of the best sources for real-time news is the internet, where we can access a wide range of articles, blogs, and other content. However, manually sifting through all this information can be a daunting task. This is where the power of (1,146 words)
- [Introduction](/content/2019/09/19/linear-programming-for-an-nfl-daily-fantasy-optimizer.html): 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 (788 words)
- [Use Your Organization's Data to More Accurately Predict Sales](/content/2016/02/22/use-your-organizations-data-to-more-accurately-predict-sales.html): If your organization uses Salesforce.com to track all of your sales leads, contacts, and opportunities, then you're probably familiar with its forecasting capabilities. As opportunities move through the sales cycle, the probability to close tends to increase. Here's a chart showing typical winning probabilities for each stage. For example, every lead that comes into the (351 words)
- [Using an LLM to Ask Specific Questions About the White House Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence](/content/2023/11/01/using-an-llm-to-ask-specific-questions-about-the-white-house-executive-order-on-safe-secure-and-trustworthy-artificial-intelligence.html): On October 30th, the White House issued an Executive Order outlining various new standards to ensure the safe, secure and trustworthy development and use of Artificial Intelligence. The next day, DJ Patil, former U.S. Chief Data Scientist, posted the below on LinkedIn: Since we already have a tool built to do exactly this, CHALLENGE ACCEPTED! (326 words)
- [Automate, Automate, Automate!](/content/2017/01/02/2016-lessons-learned-in-data-analytics/index.html): Since we launched TCB Analytics a little over one year ago, we’ve engaged in data analytics projects for clients across various industries. Some projects were focused on data visualization and reporting, others on data scraping and machine learning, and all of the projects required initial data cleansing. The New Year gives us a chance to (422 words)
- [TCB Analytics Wins Analyze Boston Challenge: Shiny Dashboard](/content/2017/08/01/tcb-analytics-wins-analyze-boston-challenge-shiny-dashboard.html): The City of Boston recently hosted the Analyze Boston Open Data Challenge to celebrate the launch of its new open data portal. TCB Analytics competed in the event in the "Reducing Boston's Carbon Footprint" Track. We leveraged a rapid prototyping and development technique and ultimately produced a Shiny dashboard that enabled scenario planning as well (226 words)
- [TCB Analytics Founder Speaks at ODSC 2017 on Rapid Prototyping of Data Products Using Shiny](/content/2017/09/05/tanya-cashorali-speaks-at-odsc-2017-on-rapid-prototyping-of-data-products-using-shiny.html): TCB Analytics founder, Tanya Cashorali, recently spoke at the Open Data Science Conference in Boston this year. She has long advocated for prototyping of data products before building full-fledged applications as all of the requirements are rarely known in advance. Read more below and watch the full talk as well! Companies are becoming more aware (221 words)
- [TCB Analytics Present Shiny Application Development at RStudio Conf 2018](/content/2018/01/22/tcb-analytics-present-shiny-application-development-rstudioconf-2018.html): 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 (208 words)
- [You Should Analyze Bad Data](/content/2015/12/23/you-should-analyze-bad-data/index.html): Garbage in, garbage out. That’s a top ten comment from data professionals. Why bother spending time extracting data if you know it wasn’t captured well or organized correctly in the first place? At TCB Analytics, we believe the exercise of working with data is a valuable business process even if the data itself isn’t tested (424 words)
- [Get Intimate With Your Data](/content/2016/02/12/get-intimate-with-your-data/index.html): With Valentine’s Day around the corner, it’s probably time we approach the topic of intimacy. No, not that intimacy. Data intimacy. Recently, we were working on a project to determine the feasibility of developing a data platform for our client. The first pass through the data involved some data clouds and trend spotting across topical (339 words)
- [Mara Averick Presents: Metis Demystifying Data Science Online Conference](/content/2017/10/16/mara-averick-presents-metis-demystifying-data-science-online-conference.html): 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. (141 words)
- [TCB Analytics at EARL Boston 2017](/content/2017/11/01/tcb-analytics-presenting-earl-boston-2017-shiny-commercial-applications.html): 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 (156 words)
- [Mara Averick Keynote at EARL Boston](/content/2017/08/24/mara-averick-keynote-boston-earl-2017/index.html): We're incredibly excited that TCB's Mara Averick, you probably know her on Twitter as @dataandme, will be keynoting at EARL Boston this year. EARL stands for "Effective Applications of the R Language" and it's an excellent conference that conveys how companies are gaining business value from the R programming language. We attended last year and (117 words)
- [TCB Analytics to Present at Bio-IT World 2018 - TCB Analytics](/content/2018/05/14/tcb-analytics-to-present-at-bio-it-world-2018/index.html): TCB Analytics is excited to participate in Bio-IT World 2018. Running from May 15-17 in Boston, the conference covers leading technology trends in the pharmaceutical and biotechnology industries. Program tracks include everything from data computing and machine learning, to bioinformatics and clinical genomics. If you’re interested in attending and haven’t already registered, there’s still time (150 words)
- [Executive Order on AI Development](/content/category/advanced-analytics/index.html) (395 words)
- [Interviewing for Data Skills](/content/2017/11/07/tanya-cashorali-presents-strata-2017-nyc-hire-test-data-skills.html): 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 (240 words)
- [RStudio Community Goals](/content/category/training/index.html) (451 words)
- [Interview with TCB Analytics Founder, Tanya Cashorali, Featured on TheEditorial.com - TCB Analytics](/content/2017/10/05/interview-tcb-analytics-founder-tanya-cashorali-featured-theeditorial-com.html): Tanya Cashorali recently sat down for an up-close-and-personal interview with an online magazine, The Editorial, which interviews visionaries on emerging ideas around us. She discusses everything from running her consultancy, to paying back student loans, to teaching, and to finally having freedom from a 9-to-5 and helping others accomplish the same. Read the full interview (76 words)
- [Data & Analytics Strategy - TCB Analytics](/content/category/data-analytics-strategy/index.html) (339 words)
- [Assessing and Improving Readiness](/content/category/machine-learning/index.html) (115 words)
- [Adam Jenkins - TCB Analytics](/content/author/adam-jenkins/index.html) (59 words)
- [[Catherine D’Ignazio](http://www.kanarinka.com/) & [Rahul Bhargava](https://openvisconf.com/Datatherapy.org) discussed visualization tools as “informal learning spaces.” They offered best practices for targeting “learners” rather than just “users,” by making tools and interfaces: focused, guided, inviting, and expandable.](/content/2017/05/03/key-takeaways-from-openvisconf-2017-2/index.html): Bookended by presentations from two of the “titans” of open-source data visualization, Mike Bostock (creator of D3.js) and Hadley Wickham (RStudio chief scientist and keeper of the “tidyverse”), Bocoup’s fifth OpenVis Conf was tightly packed with talks that both informed and inspired. Before introducing his new, reactive code environment, d3.express, Mike Bostock shared a passage (578 words)
- [Data Entry Errors: The Human Component and Intelligent Cleansing](/content/2018/12/20/data-entry-errors-the-human-component-and-intelligent-cleansing.html): 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 (473 words)
- [services-2/advanced-analytics/index.html](/content/services-2/advanced-analytics/index.html) (1 words)
- [Rebuilding ClinicalTrials.gov with AI: A Natural Language Interface Powered by LLMs](/content/2026/02/28/rebuilding-clinicaltrials-gov-with-ai-a-natural-language-interface-powered-by-llms.html): ClinicalTrials.gov contains one of the most important public biomedical datasets in the world. And yet… using it well still requires: Knowing the API Understanding filter syntax Manually constructing advanced queries Interpreting dense protocol output I wanted to change that. So I built RareTrials MCP Explorer — a system that lets you query ClinicalTrials.gov using plain (669 words)
- [Understanding ClinicalTrials.gov](/content/author/tanya/index.html) (563 words)
- [How We Work](/content/services-2/training-enablement/index.html) (369 words)
- [How We Work](/content/services-2/data-analytics-strategy/index.html) (283 words)
- [Our Story](/content/about/index.html) (219 words)
- [TCB’s Tanya Cashorali at R/Medicine 2025](/content/author/stephanie/index.html) (376 words)
- [How We Work](/content/services-2/data-visualization/index.html) (306 words)
- [Our Partners](/content/partners/index.html) (253 words)
- [How We Work](/content/services-2/services/index.html) (318 words)
- [get all <a> tags](/content/2017/05/13/tidytext-analysis-of-the-2017-openvizconf-talk-transcripts.html): We recently published a blog post on key takeaways from OpenVisConf 2017. They just released all of the speaker videos as well as the talk transcripts. Since Julia Silge gave such an awesome talk on using tidytext to mine text data, specifically from Jane Austen novels, we thought this would be a perfect opportunity to analyze the transcripts from (1,655 words)
- [2025/06/09/10-years-of-tcb-analytics-building-a-business-a-brand-and-community.html](/content/2025/06/09/10-years-of-tcb-analytics-building-a-business-a-brand-and-community.html) (1 words)
- [**Kicking off a Career in Data Science**](/content/2018/09/04/tcb-featured-in-dataframed-podcast/index.html): Tanya Cashorali of TCB Analytics is featured in the latest episode of DataFramed, a podcast by DataCamp that examines critical topics and issues within the data science community. During the episode, the interview touches on Tanya’s experiences starting a data consultancy, working in data science, rapid prototyping, and more. Kicking off a Career in Data (356 words)
- [Highlights from TCB Analytics](/content/category/data-visualization/index.html) (544 words)
- [TCB’s Tanya Cashorali at R/Medicine 2025](/content/category/data-analysis/index.html) (432 words)
- [Advanced Analytics](/content/blog/index.html) (442 words)
- [**The Problem: A Workflow in Crisis**](/content/2025/07/02/r-medicine-talk-recap-automating-patient-inquiry-tracking-in-pharma-with-shiny.html): Last month, TCB’s Tanya Cashorali gave a talk at R/Medicine 2025, covering a recent project where we automated patient inquiry tracking with R, Shiny and Smartsheet for a pharmaceutical company. Here’s a link to the full video... (975 words)
- [Data Science Solutions](/content/clients/index.html) (212 words)

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