Showing posts with label graphs. Show all posts
Showing posts with label graphs. Show all posts

Friday

Venngage

I've recently discovered this site called Venngage that lets you create your own data visualisations and graphs, either by using an already made template or by starting completely from scratch and making your own thing.
I decided to use my Brighton restaurant data from Tripadvisor and made a page of data visualisations from scratch. 
I don't think I'm able to embed the html of the page in this post but you can access it HERE.

I've included a screen grab of the graph so you can see what it looks like but without the interactive part which is quite important to the understanding of the data.




The pie chart is interactive; when you hover over each coloured slice it tells you what type of cuisine it is representing and how many restaurants of that cuisine there are in Brighton.


The '£' bubbles represent the different price brackets in relation to Brighton restaurants, and what percentage of restaurants fall under each price bracket. So, for example, most restaurants in Brighton are moderately cheap (represented by '££') and very expensive restaurants come in second (represented by '££££').


At the bottom of the page I've made a wordcloud consisting of the most popular dining options available for Brighton restaurants.
Please click on the link, or the first image, to be taken to the real graph so you can get a proper feel of it.


Wednesday

Different proportion of cuisines in Brighton

Here I've made my own Data Visualisation graph, showing the proportion of all of the different cuisines in Brighton. I've got my data from Trip Advisor, so am relying on that for the accuracy of my data.
As you can see, apparently the cuisine with the most restaurants in Brighton is British cuisine, which is probably including pubs as there are a lot of pubs in Brighton!


undefinedAfrican: 4AfricanAmerican: 28AmericanAsian: 17AsianBritish: 187BritishCaribbean: 2CaribbeanChinese: 16ChineseFrench: 22FrenchFusion: 5FusionGerman: 2GermanGreek: 5GreekIndian: 30IndianIrish: 1IrishItalian: 49ItalianJapanese: 13JapaneseMediterranean: 21MediterraneanMexican: 9MexicanMiddle Eastern: 13Middle EasternSeafood: 19SeafoodSouth American: 3South AmericanSpanish: 11SpanishThai: 37ThaiVegetarian: 20VegetarianVietnamese: 2Vietnamese

Further Data Visualisation Example

The data visualisation below is a slight variation of the graph below.
It is using the same data - cocktail recipes - but displaying that data in a different form, that some people may or may not prefer.
I personally prefer the data visualisation in the previous post as I think it's more interesting to look at, but there are many different options with which to display data on Raw.


Data Visualisation Example Using 'Raw' App - Pretty Cool!

undefined9Bloody Mary: 1Bloody MaryJager Monster: 1Jager MonsterDaiquiri: 1Daiquiri18Bloody Mary: 1Bloody MaryMint Julep: 1Mint Julep3Bloody Mary: 1Bloody MaryCosmopolitan: 2CosmopolitanApple Martini: 2Apple MartiniLong Island Iced Tea: 5Long Island Iced TeaMargarita: 1MargaritaCaribou Lou: 1Caribou LouWhiskey Sour: 1Whiskey Sour12Gin and Tonic: 1Gin and TonicMojito: 1MojitoCuba Libre: 1Cuba Libre29Gin and Tonic: 1Gin and Tonic10Screwdriver: 1ScrewdriverWhite Russian: 1White Russian20Screwdriver: 1Screwdriver4White Russian: 1White RussianMargarita: 1MargaritaDaiquiri: 1DaiquiriSex on the Beach: 1Sex on the BeachB-52: 3B-526White Russian: 1White RussianCosmopolitan: 1CosmopolitanLong Island Iced Tea: 1Long Island Iced TeaMudslide: 4MudslideKamikaze: 3KamikazeMojito: 1MojitoCaribou Lou: 1Caribou LouCuba Libre: 1Cuba LibreJager Monster: 1Jager MonsterPina Colada: 3Pina Colada8Cosmopolitan: 1CosmopolitanApple Martini: 1Apple MartiniMojito: 1MojitoSex on the Beach: 3Sex on the Beach5Long Island Iced Tea: 1Long Island Iced Tea7Margarita: 1Margarita1Mojito: 2MojitoDaiquiri: 1DaiquiriWhiskey Sour: 1Whiskey SourMint Julep: 2Mint Julep2Whiskey Sour: 1Whiskey Sour

Data Visualisation

This week I've been looking into the world of data visualisation.
Data visualisation is, as the name suggests, the digital visualisation of data, and is a way to represent data clearly and effectively (often in a creative way).
A website I've been looking at that has lots of interesting examples of different forms of data visualisation is Visual Complexity, which has examples ranging from things such as maps of locations on Foursquare to visual overviews of music albums (I've still no clue how that works but it does!)


Graph using locative devices - Visual Complexity


Graph visualising band Dead Kennedys' five studio albums - Visual Complexity

I find these examples of Visual Complexity really fascinating but at the moment have no idea how to go about making my own so need to really look into it!
There are some other good sites like We Love Datavis, which is a Tumblr site, that give further examples of what people have done, so I'm going to have more of a look and investigate this data visualisation business...