Traditional portfolio optimization (often called modern portfolio theory, or mean-variance optimization) balances expected portfolio return with expected portfolio variance. You input how opposed you are to portfolio variance (your risk tolerance), then you build a portfolio that gives you the best return given your risk tolerance. Goals-based investing, by contrast, ...

Hello Readers, Today i’m going to do a little data explore of the data from the F1 2020 season so far. Exploring a number of questions about the season so far. First of all looking at qualifying and why a lot of teams are annoyed by (t)Racing Point and ...

Introduction Data Basic principles of {ggplot2} Create plots with {ggplot2} Scatter plot Line plot Combination of line and points Histogram Density plot Combination of histogram and densities Boxplot Barplot Further personalization Title an...

Introduction Data Basic principles of {ggplot2} Create plots with {ggplot2} Scatter plot Line plot Combination of line and points Histogram Density plot Combination of histogram and densities Boxplot Barplot Further personalization Labels Axis ticks Log transformations Limits Legend Shape, color, size and transparency Smooth and regression lines Facets Themes Interactive ...

  The some columns on the data file has changed so I have updated the code from my last post. It is worrying that the daily number of new cases has risen to the same level as when the lock down started. The speed of the increase remains quite slow however. ...

If you’re just at the beginning of your journey learning R programming and you're looking for tips, there’s a lot you can learn from Shelmith Kariuki.Shel has years of professional experience working in data science, and years of experience teaching statistics and data skills to others. She’...

Photo by Markus Spiske on Unsplash This is a guest post from RStudio’s partner, ProCogia The rapid advancement of R presents a challenge to reproducibility Thanks to our vibrant and engaged community, R is continually evolving as successful ...

This is the follow-up of a manuscript that we (some colleagues and I) have published in 2016 in the European Journal of Agronomy (Onofri et al., 2016). I thought that it might be a good idea to rework some concepts to make them less formal, simpler ...

This is the follow-up of a manuscript that we (some colleagues and I) have published in 2016 in the European Journal of Agronomy (Onofri et al., 2016). I thought that it might be a good idea to rework some concepts to make them less formal, simpler to follow and more closely related ...

A post about simulating data from a generalized linear mixed model (GLMM), the fourth post in my simulations series involving linear models, is long overdue. I settled on a binomial example based on a binomial GLMM with a logit link. I find binomial models the most difficult to grok, primarily ...

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Have 5-minutes? Then let’s learn time series. In this short articles series, I highlight how you can get up to speed quickly on important aspects of time series analysis. Today we are focusing preparing data for timeseries analysis rolling calculatio...

Github Page as of 8/10/20 Quick Overview Exploring-Data is a place where I share easily digestible content aimed at making the wrangling and exploration of data more efficient (+fun). Sign up Here to join the many other subscribers who also nerd out on new tips and tricks ???? And if you enjoy ...

Computing has come a long way in the past 75 years. I learned how to write code in the 1980s on my tiny 1 kilobyte ZX81 home computer. With only 1 kilobyte of memory, capabilities were limited, but this machine set me off on an adventure writing code in the BASIC language. An ...

Benford’s Law is one of the most underrated and widely used techniques that are commonly used in various applications. United States IRS neither confirms nor denies their use of Benford’s law to detect any number of manipulations in income tax filing. Across the Atlantic, the EU is very ...