Optimizing my search for Data scientist jobs by scraping Indeed with R

A few weeks ago, I started looking for a data scientist position in industry. My first moves were: To look at the job posts on websites such as Indeed To update my resume After reading numerous job posts and work several hours on my resume, I wondered if I could optimize these steps with R and Data Science. [Read More]

Analysis of the top R packages

After a little while coding in Python every day for my work, I needed to make a break and perform some R analysis! Since the beginning of my postdoc, I haven’t followed the last trends concerning R packages. In this post, I am going to analyze some data about R packages to see what are the most downloaded packages during the past weeks. I will also visualize all the relationships between the R packages by looking at their required dependencies. [Read More]

Can R and Shiny make me a better fisherman? Part 4

Exploratory analysis on my fishing data (shiny and plotly)

In this post, I explore the data I have collected during the last year with the updated version of the application (presented here). This quick exploratory analysis is performed with two packages I really enjoy: Plotly and shiny. For reminder, my new application store the data in three csv files. The first one contains variables related to the fishing conditions. The second one contains information about my catches and finally the third one contains information about the characteristics of the lures I used during the session. [Read More]

Can R and Shiny make me a better fisherman? Part 3

Updating my fishing application

In this previous post, I presented the shiny application I developed to record data about my fishing session. In today’s post, I will present briefly the changes and updates I made to improve the application. Here are the main changes: Weather API: the API I was using (Dark Sky) stopped furnishing free data. I changed for Openweathermap and I needed to update the functions to gather the same information as before. [Read More]

Coastal risks and statistical learning: Analyzing Google trends with gtrendsR package

I am currently in the third year of my PhD and it is time for me to synthesize all the work I have done by writing my thesis. One important step is the introduction which presents the general context and the contributions of my thesis in the research world. For my introduction, I decided to include the Google trend analysis of specific terms related to my PhD subject. For information, the aim of my PhD is to demonstrate the potential contributions of statistical learning methods in the study of coastal risks. [Read More]

Webscraping Aliexpress with Rselenium

Today, I am going to show you how to scrape product prices from Aliexpress website. A few words on web scraping Before diving into the subject, you should be aware that web scraping is not allowed on certain websites. To know if it is the case for the website you want to scrape, I invit you to check the robots.txt page which should be located at the root of the website address. [Read More]

Can R and Shiny make me a better fisherman? Part 2

Exploratory analysis on my fishing data

In the previous blog article, I described in details how I built a shiny application that stores data about my fishing sessions. In this post, I will explore the data I have collected during the last year. To sum up, my application store the data in two csv files. The first one contains variables related to the fishing conditions at the beginning and at the end of the session such as : [Read More]

Can R and Shiny make me a better fisherman? Part 1

Building a shiny application to store my fishing data

My favorite hobby, in addition to R coding of course, is fishing. Most of the time, I am fishing European sea bass (Dicentrarchus labrax) in estuaries. The sea bass is a predatory fish that has a broad range of preys: crabs, sand eels, prawns, shrimps and other fish. To catch these predators, I don’t use live baits, I prefer to use artificial lures that imitate a specific prey. In theory, it is quite easy to catch a fish: [Read More]