Code

Analyse new Datasets automatically with R-Markdown

When you get your hands on a new dataset, describing the variables automatically can be extremely useful. Their distribution, quality (missings) and correlation to other variables determines their suitability for different statistical methods. As mentioned in the R-intro there are…

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Google Search

Webscraping Google Search Results

In this short post, I will show you how you can access the number of Google search results using webscraping. The code is written in R. Be aware of rating limits to not get blocked, and read Google’s Terms of…

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Sentiment Analysis using Facebook Data

Unstructured data, here textual data, remain a big thing for the major players. Apple, Amazon and Microsoft use deep neural nets trained on huge amount of data obtained by their services and the web itself. Another example comes from politics.…

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A Choropleth Map created with Plotly

Interactive Maps with Plotly

Interactive visualisations are the new standard when communicating your results. Choropleth maps are one example and are handy to compare features across regions. Using the plotly package you can create interactive plots, which can contain additional information when hovering above…

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R Webscraping

R Webscraping

In modern times, many websites offer APIs to automatically access their websites or resources. However, sometimes it is necessary to automatically access information from a website without using an API. This is called webscraping. Most importantly when you download pages…

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Interactive Maps Bokeh

Interactive Maps with Python

Interactive visualizations are extremely trendy. The commercial software Tableau is one example. Aside from it’s popularity, it is quite expensive for private use. There are plenty free software libraries for different programming languages. Ggplo2 for R and the famous matplotlib…

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