A eatter way to do your EDA, and with less unnecessary coding and more flexibility using GGPLOT2 + PURRR. When you are plotting different charts during your exploratory data analysis, you sometimes end up doing a lot of repeated coding...
How to Automate Excel with R
Your company lives off them... Excel files. Why not automate them & save some time? Here's an Excel File you're going to make in this tutorial from R.
Top 5 Best Articles on R for Business [September 2020]
Finance in R - Evaluating American Funds Portfolio
Active funds have done poorly over the last ten years, and in most cases, struggled to justify their fees. In the post, there is a supporting chart showing a group of American Funds funds compared to the Vanguard Total Market index.
Using Drake for ETL - Building A Shiny Real Estate App
The drake plan organizes the project work flow according to targets, which are generated by scripts of functions and often functions of functions. The natural flow for our ETL was to check if the raw data was available on the local disc...
How to Automate PowerPoint Slidedecks with R
Here's a common situation, you have to make a Monday Morning Slide Deck. It's the same deck each week, just date ranges for your data change. Here's how to automate this process with R!
How to Scrape Word Documents with R
Your company has tons of them - Microsoft Word Documents! Scraping word documents is a powerful technique for extracting data. Let's learn how with R, officer, & tidyverse.
Time Series in 5-Minutes, Part 6: Modeling Time Series Data
How to Sell Your Manager on A Data Science Course Purchase
Time Series Forecasting Course - Now Available
We've crafted an amazing course to teach Data Scientists and Business Analysts how to make high-performance time series forecasts! We've combined an innovative program with a clear-cut path to forecasting using feature engineeirng, machine learning, and deep learning! You'll undergo a complete transformation. Time to accelerate your career!
Time Series in 5-Minutes, Part 5: Anomaly Detection
Anomaly detection is the process of identifying items or events in data sets that are different than the norm. Anomaly detection is an important part of time series analysis: (1) Detecting anomalies can signify special events, and (2) Cleaning anomalies can improve forecast error.
Course Launch: High-Performance Time Series Forecasting in 7 Days!
We've crafted an amazing course to teach Data Scientists and Business Analysts how to make high-performance time series forecasts! We've combined an innovative program with a clear-cut path to forecasting using feature engineeirng, machine learning, and deep learning! You'll undergo a complete transformation. Time to accelerate your career!