WASS.cat
Friday, April 05, 2024
Thursday, March 24, 2022
Pistola de "V" de Teleindiscreta
Por fin, alguien ha escaneado en alta calidad la pistola recortable de "V" que Teleindiscreta regaló en su momento.
[Haz click en la imagen para poderla descargar en máxima calidad]
via serializados
Labels:
alta calidad,
impresión,
lagartos,
pistola,
recortable,
teleindiscreta,
v
Sunday, February 23, 2020
Countries grouped by their voting profile in the past years using statistical analysis
This is a post about Eurovision and statistics. Probably, not a very original combination. Yet, it is a great way to practice statistics. As everybody who has watched eurovision more than once, there are several countries who always give high votes to each other. I heard once the word "scandimafia" referring the way nordic countries vote each other, and I thought looking into voting groups would be a good way to practice multivariate statistics.
First we need voting data. As extensive as possible. I downloaded the 1975-2018 votes from this link that seems not to work anymore, but I am sure there are many other sources. Basicly the data we need has to have the fields: "year", "from country", "to country", "votes".
What I did, to better detect similarities in voting patterns among countries was to add to each country a vote of 12 points to itself. This way, other countries that vote for this one will show a bigger proximity in the analysis.
Then I tried two different analyses: cluster analysis and Principal Component Analysis.
"Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense) to each other than to those in other groups (clusters)." [Wikipedia]
First we need voting data. As extensive as possible. I downloaded the 1975-2018 votes from this link that seems not to work anymore, but I am sure there are many other sources. Basicly the data we need has to have the fields: "year", "from country", "to country", "votes".
What I did, to better detect similarities in voting patterns among countries was to add to each country a vote of 12 points to itself. This way, other countries that vote for this one will show a bigger proximity in the analysis.
Then I tried two different analyses: cluster analysis and Principal Component Analysis.
"Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense) to each other than to those in other groups (clusters)." [Wikipedia]
"Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components. This transformation is defined in such a way that the first principal component has the largest possible variance (that is, accounts for as much of the variability in the data as possible), and each succeeding component in turn has the highest variance possible under the constraint that it is orthogonal to the preceding components." [Wikipedia]
In plain English, PCA is a tecnique used to convert several variables (can be dozens, hundreds...) into a small number of variables, while retaining the maximum amount of variability. It is used in fields were large amounts of variables are collected (like ecology), but also for smaller collections of data (the analysis of decathlon results is maybe the most popular in tutorials).
The first two principal components can be plotted in what is called a biplot, and the observations (in our case countries) will be placed according their loadings (values) in these components. To compare with the results from Cluster analysis, the country groups resulting from the Cluster analysis are plotted in the biplot with different colors.
In plain English, PCA is a tecnique used to convert several variables (can be dozens, hundreds...) into a small number of variables, while retaining the maximum amount of variability. It is used in fields were large amounts of variables are collected (like ecology), but also for smaller collections of data (the analysis of decathlon results is maybe the most popular in tutorials).
The first two principal components can be plotted in what is called a biplot, and the observations (in our case countries) will be placed according their loadings (values) in these components. To compare with the results from Cluster analysis, the country groups resulting from the Cluster analysis are plotted in the biplot with different colors.
Labels:
cluster analysis,
cluster dendogram,
countries,
eurovision,
groups,
music,
musica,
música,
PCA,
principal component analysis,
votes,
voting
Friday, July 15, 2016
Thursday, June 09, 2016
Independence Day: Resurgence
Here, at WASS, our editors have been debating about Independence Day since 1996...
Despite that, we are glad to announce the first 2016 WASS event: WASS-ID, the screening of Independence Day: Resurgence.
Despite that, we are glad to announce the first 2016 WASS event: WASS-ID, the screening of Independence Day: Resurgence.
Tuesday, May 17, 2016
Politics Killed the Eurovision Show (2016), by zinematiks
So Ukraine won the Eurovision show of this year, as many of us feared. And it is bad news because the song was simply mediocre: I wonder how many of the people who voted for it would be able to remember the tune today...
The song and performance by Jamala, compared with Måns Zelmerlöw's last year "Heroes", was like compraring JJ Abrams "Star Wars" to "Star Wars: The Phantom Menace".
Maybe Jamala's was not the worst song of the festival (although maybe it was), but surely there were many better ones.
Our favorite was the Australian song by Dami Im, "Sound Of Silence". Obviously, we loved its 80s-epic-ballad-like chorus!
But there were many other songs way better than the Ukrainian.
For example, the Swedish song, Frans' "If I Were Sorry", improved with every listening.
Also the French, "J'ai Cherché" by Amir, was much better than Jamala's.
Even the Spanish song was better than the winner! Something that we would have never imagined could happen... LOL
And then comes the Russian song... The great rival of the Ukrainian song. Sergey Lazarev's "You Are The Only One" was definitely not our favorite song, but the truth is that it was also better than Jamala's song, and the most Eurovisive of all. Probably that's why it was the favorite in all bet sites (Russia: 2; Australia: 6; Ukraine: 15; average from the 22 bet sites listed here).
The coreography was too similar to last years' winner (specially in the beginning), but you can deny it seemed that Russia wanted to win the show.
You can check the recap of all the contestants here:
Even the Finish and Estonian songs, that didn't qualify for the final, were better than Jamala's song:
Everything in Eurovision is about the show, Jamala's song was just the opposite, the truth is it was only cheap drama.
The song and performance by Jamala, compared with Måns Zelmerlöw's last year "Heroes", was like compraring JJ Abrams "Star Wars" to "Star Wars: The Phantom Menace".
Maybe Jamala's was not the worst song of the festival (although maybe it was), but surely there were many better ones.
Our favorite was the Australian song by Dami Im, "Sound Of Silence". Obviously, we loved its 80s-epic-ballad-like chorus!
But there were many other songs way better than the Ukrainian.
For example, the Swedish song, Frans' "If I Were Sorry", improved with every listening.
Also the French, "J'ai Cherché" by Amir, was much better than Jamala's.
Even the Spanish song was better than the winner! Something that we would have never imagined could happen... LOL
And then comes the Russian song... The great rival of the Ukrainian song. Sergey Lazarev's "You Are The Only One" was definitely not our favorite song, but the truth is that it was also better than Jamala's song, and the most Eurovisive of all. Probably that's why it was the favorite in all bet sites (Russia: 2; Australia: 6; Ukraine: 15; average from the 22 bet sites listed here).
The coreography was too similar to last years' winner (specially in the beginning), but you can deny it seemed that Russia wanted to win the show.
You can check the recap of all the contestants here:
Even the Finish and Estonian songs, that didn't qualify for the final, were better than Jamala's song:
Everything in Eurovision is about the show, Jamala's song was just the opposite, the truth is it was only cheap drama.
Tuesday, May 03, 2016
Eurovision 2016
Your favorites?
Ours is Australia. We love 80s-like ballads...
Ours is Australia. We love 80s-like ballads...
Grand Final
#
|
Representing country
|
Performer(s)
|
Song title, writer(s) and composer(s)
|
---|---|---|---|
01 | Belgium
VRT
| Laura Tesoro | What's The Pressure |
02 | Czech Republic
ČT
| Gabriela Gunčíková | I Stand |
03 | The Netherlands
AVROTROS
| Douwe Bob | Slow Down |
04 | Azerbaijan
İctimai
| Samra | Miracle |
05 | Hungary
MTV
| Freddie | Pioneer |
06 | Italy
RAI
| Francesca Michielin | No Degree Of Separation |
07 | Israel
IBA
| Hovi Star | Made Of Stars |
08 | Bulgaria
BNT
| Poli Genova | If Love Was A Crime |
09 | Sweden
SVT
| Frans | If I Were Sorry |
10 | Germany
NDR
| Jamie-Lee | Ghost |
11 | France
France 2
| Amir | J'ai cherché |
12 | Poland
TVP
| Michał Szpak | Color Of Your Life |
13 | Australia
SBS
| Dami Im | Sound Of Silence |
14 | Cyprus
CyBC
| Minus One | Alter Ego |
15 | Serbia
RTS
| Sanja Vučić ZAA | Goodbye (Shelter) |
16 | Lithuania
LRT
| Donny Montell | I've Been Waiting for This Night |
17 | Croatia
HRT
| Nina Kraljić | Lighthouse |
18 | Russia
RTR
| Sergey Lazarev | You Are The Only One |
19 | Spain
TVE
| Barei | Say Yay! |
20 | Latvia
LTV
| Justs | Heartbeat |
21 | Ukraine
NTU
| Jamala | 1944 |
22 | Malta
PBS
| Ira Losco | Walk On Water |
23 | Georgia
GPB
| Nika Kocharov and Young Georgian Lolitaz | Midnight Gold |
24 | Austria
ORF
| ZOË | Loin d'ici |
25 | United Kingdom
BBC
| Joe and Jake | You're Not Alone |
26 | Armenia
AMPTV
| Iveta Mukuchyan | LoveWave |
Dates
The 2016 Eurovision Song Contest will take place in the Globe Arena in Stockholm, Sweden and be hosted by Måns Zelmerlöw and Petra Mede. The Semi-Finals will be held on 10th and 12th May, the Grand Final will take place on Saturday 14th May. All shows will be broadcast at 21:00 CEST.
News
WATCH TONIGHT: 2016 Grand Final live from Stockholm
The Grand Final of the 2016 Eurovision Song Contest takes place tonight, 14th of May, live from the Globe Arena in Stockholm, Sweden, from 21:00 CET...Read moreJuries voting tonight for the 2016 Grand Final
The live show for the Grand Final takes place tomorrow evening, when viewers in all 42 countries will have their opportunity to vote to decide the...Read morePress conferences of Big Five and Junior Eurovision
While the first Dress Rehearsal of the Grand Final is taking place at the Globe Arena today, the Big Five countries and their artists will also hold...Read moreFirst Dress Rehearsal of the Grand Final
The excitement at this year's Eurovision venue is rising as the first Dress Rehearsal of the Grand Final will take place at the Globe Arena at 14:30...Read moreGrand Final of Eurovision 2016 to be live streamed on YouTube
The Grand Final of the Eurovision Song Contest is to be streamed live on the Eurovision YouTube Channel. Fans can join millions of viewers across the...Read more
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