Congratulations to Sweden’s Loreen for her victory in this year’s Eurovision Song Contest! And to Liverpool for being the best of host cities. And thanks too to the Eurovision statisticians on posting the (almost) complete voting data for Liverpool 2023 on their website within 24 hours of the result!
This post looks at the detailed voting results. It refers back to previous analysis, particularly in this article.
Concert-Diary has been advertising classical concerts since 2000, mainly in the UK, and (unlike some listings websites) allows you to go back and look at historic data. Concerts can be classified under several headings – one of which is “Christmas”, so I thought it would be interesting to look at this century’s Christmas concerts.
The Google Books Ngram Viewer is a powerful tool for analysing historical text data. It uses the enormous corpus of books scanned by Google to analyse the frequency of words and phrases over time. An n-grams is just a combination of words – so a single word is a 1-gram, a pair of words a 2-gram, etc. The Google viewer has data up to 5-grams.
This has potential uses in many fields – including musicology. Here we will use the ngram viewer to analyse the rise and fall of ragtime music.
A few weeks ago saw the final of the tenth series of The Voice UK – a reality TV singing competition. The first stage of The Voice consists of blind auditions, where contestants sing, unseen by the four coaches whose chairs face away from the stage. If a coach likes what they hear, they press a button to turn around. If more than one coach turns, the contestant chooses which team to join. The blind auditions finish when each coach has a team of ten. Subsequent rounds reduce the field until four remain for the final, with the winner chosen by public vote. This article looks at the blind audition rounds over the ten series.
The previous article in this series looked at the composers featuring in eighteenth century London concerts. Also encoded within the “programme” field of the dataset is information on the performers at the concerts, and they are the subject of this article.
This article in the series covering the Eighteenth Century London Concerts dataset looks at composers. As previously discussed, composers can be identified as the names preceding a “Genre” code in the list of entries in the dataset’s “Programme” field. In most cases they can also be associated with the genre of the work in question (and sometimes the precise work can be identified, although this information is quite patchy).
A recent addition to the Concert Datasets page is Operabase, a database of over 500,000 opera performances worldwide since 2004. I plan to look at this data more closely in a future article, but for now, I thought it would be interesting to see if opera performances follow a power law.1
This article looks at the types of repertoire included in eighteenth-century London concerts. As discussed in the first article of this series, information on the works performed is encoded, in a complicated way, in the “programme” field of the dataset.
The data is based on concert advertisements in newspapers, so there is considerable variation in the detail provided. Some advertisements spell out details of all of the works and who will perform them, but it is more typical for the focus to be on the performers, with the works often vaguely specified, such as “a concerto by Handel” (if you are lucky, it will say what instrument it is for).
This article in the series exploring the Eighteenth Century London Concerts dataset looks at when the concerts were held. This covers questions such as in which decade or year they took place, at what point during the year, on which days of the week, and at what times of day? And how did this vary according to the type of concert?