Are you interested in guest posting? Publish at DataScience+ via your RStudio editor. Category Advanced Modeling Tags Data Management R Programming Text Mining In the present tutorial, I show an introductory text analysis of a ABC-news news headlines dataset. I will have a look to the most common words therein ...

Are you interested in guest posting? Publish at DataScience+ directly from your editor (i.e., RStudio). Category Basic Statistics Tags Data Visualisation Maps R Programming This is the fourth part of our post series about the exploratory analysis of a publicly available dataset reporting earthquakes and similar events within a ...

Interested in guest posting? We would love to share your codes and ideas with our community. Categories Basic Statistics Tags Data Visualisation ggplot2 Maps R Programming Tips & Tricks This is the third part of our post series about the exploratory analysis of a publicly available dataset reporting earthquakes and similar ...

CategoriesBasic Statistics Tags Data Visualisation Exploratory Analysis R Programming This is the second part of our post series about the exploratory analysis of a publicly available dataset reporting earthquakes and similar events within a specific time window of 30 days. In the following, we are going to analyze the categorical variables ...

CategoriesBasic Statistics Tags Data Management Data Visualisation Exploratory Analysis Import Data R Programming In this post series, we are going to introduce the exploratory analysis of a dataset as available at ref. [1] reporting earthquakes and similar events occurring within a specific time window. We will run a basic exploratory analysis, ...

CategoriesAdvanced Modeling Tags Data Visualisation Linear Regression R Programming This is the final part of the 4-series posts. In this fourth post, I am going to build an ARMA-GARCH model for Dow Jones Industrial Average (DJIA) daily trade volume log ratio. You can read the other three parts in the ...

CategoriesAdvanced Modeling Tags Data Visualisation Linear Regression R Programming In this third post, I am going to build an ARMA-GARCH model for Dow Jones Industrial Average (DJIA) daily log-returns. You can read the first and second part which I published previously. Packages The packages being used in this post series ...

CategoriesBasic Statistics Tags Data Visualisation Import Data R Programming This is the second part of the 4-series articles about Dow Jones Stock Market. To read the first part go to this link. In this part, I am going to analyze the Dow Jones Industrial Average (DJIA) trade volume. Packages The ...

CategoriesBasic Statistics Tags Data Visualisation Import Data R Programming In this four-post series, I am going to analyze the Dow Jones Industrial Average (DJIA) index on years 2007-2018. The Dow Jones Industrial Average (DIJA) is a stock market index that indicates the value of thirty large, publicly owned companies based ...

CategoriesAdvanced Modeling Tags Linear Regression Principal Component Analysis R Programming In this post, I am going to build a statistical learning model as based upon plant leaf datasets introduced in part one of this tutorial. We have available three datasets, each one providing sixteen samples each of one-hundred plant species. ...

CategoriesGetting Data Tags Data Management Data Visualisation Exploratory Analysis R Programming In this post, I am going to run an exploratory analysis of the plant leaf dataset as made available by UCI Machine Learning repository at this link. The dataset is expected to comprise sixteen samples each of one-hundred plant ...

Makridakis Competitions (also known as the M Competitions or M-Competitions) are a series of competitions organized by teams led by forecasting researcher Spyros Makridakis and intended to evaluate and compare the accuracy of different forecasting methods. So far three competitions have taken place, named as M1 (1982), M2 (1993) and M3 (2000). The ...

The present tutorial analyses the Tennis Grand Slam tournaments main results from the statistical point of view. Specifically, I try to answer the following questions: – How to fit the distribution of the Grand Slam tournaments number of victories across players? – How to compute the probability of having player’s victories ...

In my previous tutorial Arima Models and Intervention Analysis we took advantage of the strucchange package to identify and date time series level shifts structural changes. Based on that, we were able to define ARIMA models with improved AIC metrics. Furthermore, the attentive analysis of the ACF/PACF plots highlighted ...

In my previous tutorial Structural Changes in Global Warming I introduced the strucchange package and some basic examples to date structural breaks in time series. In the present tutorial, I am going to show how dating structural changes (if any) and then Intervention Analysis can help in finding better ARIMA ...

In time series analysis, structural changes represent shocks impacting the evolution with time of the data generating process. That is relevant because one of the key assumptions of the Box-Jenkins methodology is that the structure of the data generating process does not change over time. How can structural changes be ...

Results so far obtained allow us to predict the RainTomorrow Yes/No variable. In the first part, we highlighted that such factor variable can be put in relationship with the Rainfall quantitative one by: all.equal(weather_data$Rainfall __ 1, weather_data$RainToday == "Yes") As a consequence, we are able so ...

In the previous part of this tutorial, we build several models based on logistic regression. One aspect to be further considered is the decision threshold tuning that may help in reaching a better accuracy. We are going to show a procedure able to determine an optimal value for such purpose. ...

In this tutorial we are going to analyse a weather dataset to produce exploratory analysis and forecast reports based on regression models. We are going to take advantage of a public dataset which is part of the exercise datasets of the “Data Mining and Business Analytics with R” book (Wiley) ...