Good content requires a good workflow to be created. Here’s where to start developing yours. — Despite the current excitement over AI tools meant to speed up creation tasks, content can be challenging material to create effectively. You have to know what topic you want to present, learn to emphasize the right phrasing in your marketing messages, and understand the community in which you want to…

The yfR library can import stock data from Yahoo! Finance — Stock performance is a great way of examining time series data, as well as understanding the mechanics of creating forecasts. The volatility of stock can teach how to examine patterns in a time series analysis as well as build some speculation for those who are trading in stock, casual or…

Heatmaps are useful data visualizations in data science and business. Here are three ways to create heatmaps using R. — Visualizations are helpful for identifying the degree of difference among a dataset. One of the most trusted visualizations is a heatmap. A heatmap is essentially a table containing colors for each element. The colors represent a measuring scale applied to the data. Heatmaps are useful data visualizations when you need…

Explaining data models and all the assumptions can be complicated, but there are ways to simplify details. Here are 5 tips on how to make simple explanations great. — No matter where you are in the data science journey, you will often hear about data but need to be made aware of how to best explain the ideas from it. This is especially tricky when working with managers who need to be made aware of the nuances of the…

Exploratory Data Analysis usually means creating subsets. Here are the key functions in R that are used for data exploration. — When exploring data you import into R, you will want to work with sections of a dataset. Extracting these sections is called subsetting. There are several ways to subset your data within R programming, ranging from character usage to straightforward functions. Index The most common way is to use an index…

No matter how much branding is done, rebranding becomes necessary over time. But when and how should a rebranding take place? — We hear about brands ad nauseam, both for products, services, or even personal brands. The need to brand is mentioned in almost every tip online. With entrepreneurship at an all-time high, branding becomes a key necessity in getting everyone to learn about a product or service.

A tradition among restaurant owners is what all businesses need to be better business owners. — Rachael Dempsey of Posit (The data science company, home of the R-Studio IDE) gave a terrific presentation and blogpost on her experiences at her family restaurant. One concept she learned is an industry practice restaurant managers do called “Touch a Table”. What happens is during operating hours a manager will…

Programming often involves the automatic replacement of characters within a text or a body of text. Developers have long applied regular expressions to do this. It is common in programming to help identify and replace text when the code is hundreds of lines long. For applying filters and regular expressions…

Reticulate is the bridge between the world of Python and R — Reptile experts know the word “Reticulate” as a type of snake, named for its netlike appearance on its skin. But most R programmers understand the word “Reticulate” as the name of a popular library for connecting with Python the open-source programming language. …