Author Archives: Monika Wahi

DPS Update: I’m back in business!

Update on Monika Wahi of DethWench professional services.

DPS Update: I’m doing better and working again! Check out my updated LinkedIn Learning courses and books for sale!

Apply Weights? It’s Easy in R with the Survey Package!

You can do a population-based analysis if the original dataset used multi-stage sampling.

Apply weights to get weighted proportions and counts! Read my blog post to learn how to use the survey package in R.

Make Categorical Variable Out of Continuous Variable

You can make mean, median and mode with a continuous variable.

Make categorical variables by cutting up continuous ones. But where to put the boundaries? Get advice on my blog!

Remove Rows in R with the Subset Command

Learn r programming and biostatistics

Remove rows by criteria is a common ETL operation – and my blog post shows you how to do it using the subset command.

CDC Wonder for Studying Vaccine Adverse Events: The Shameful State of US Open Government Data

The open government data movements in many countries have resulted in government data being available online.

CDC Wonder is an online query portal that serves as a gateway to many government datasets. Although antiquated, it still works for extracting data, and my blog post shows you how.

AI Careers: Riding the Bubble

If you are a data scientist, you may want to do statistics, but you may also be interested in machine learning and artificial intelligence.

AI careers are not easy to navigate. Read my blog post for foolproof advice for those interested in building a career in AI.

Descriptive Analysis of Black Friday Death Count Database: Creative Classification

The Black Friday Death Count database has a list of news reports of deaths or injuries on Black Friday.

Descriptive analysis of Black Friday Death Count Database provides an example of how creative classification can make a quick and easy data science portfolio project!

Classification Crosswalks: Strategies in Data Transformation

What if you have too many categories in a categorical variable? Your cardinality is too high for a chi-square analysis.

Classification crosswalks are easy to make, and can help you reduce cardinality in categorical variables, making for insightful data science portfolio projects with only descriptive statistics. Read my blog post for guidance!