Full Text Search Sql Install 1603' title='Full Text Search Sql Install 1603' />Talk like a pirate day 2. International Talk Like A Pirate Day. Q What has 8 legs, 8 arms and 8 eyesA 8 pirates. Avast, ye scurvy scum Today be September 1. AA-00654/setup-full-text-search.png' alt='Full Text Search Sql Install 1603' title='Full Text Search Sql Install 1603' />SAP Adaptive Server Enterprise 16. Release Bulletin SAP Adaptive Server Enterprise 16. HPUX Release Bulletin SAP Adaptive Server Enterprise 16. IBM AIX. Whats in the Release Notes. The release notes cover the following topics Whats New Earlier Releases of vCenter Server 6. Patches Contained in this Release. Don Please take a moment to Vote as Helpful andor Mark as Answer, where applicable. This helps the community, keeps the forums tidy, and recognises. International Talk Like A Pirate Day. While its a silly holiday, its a great chance to switch your Facebook to Pirate English Arr, this be pleasing to me eye. Also, its as good a reason as any to go sailing the Internet Main, scouring for booty dataWell, any excuse, yknowWhat is today known more or less as Pirate English the bit with all the arrr, ahoy, ye matey, etc is in fact the accent employed by Robert Newton, the actor who played Long John Silver in the first non silent film talkie Treasure Island. He speaks with a Bristol accent, which was in fact the main trading port with the West Indies Bristol, not the accent, of course. The accent we today associate with pirates could well have been historical More useless information on pirates such as that there is no historical evidence of a pirate ever owning a parrot as a pet again this stereotype evolved from the Treasure Island movie is on the wonderful as always treasure trove of superfluous information, the QI page on pirates. Data. First, lets get some data on pirates. I have some hazy memories on seeing data on historical shipping, and also piracy somewhere a while ago, but I cannot find it any more. I must be getting older. So, Ill do what any self respecting young whippersnapper would do and grab data from Wikipedia. There is a list of famous pirates its biased, of course. I see relatively few entries on Barbary pirates, for instance. No matter, the list covers most of the Golden Age of Piracy in the Caribbean, and Ill use it to generate a dataset on these pirates. Well grab the wiki page, linking to the static ID of the page for reproducability. Listofpirates oldid7. R. pirates. wikilt readhtmlpirates. We then use purrr mapdfr to grab all tables in the HTML, and push them into a single dataframe and do some basic cleaning. Man, I hate Windows utf 8 and Windows still in 2. Rise of the English Sea Dogs and Dutch Corsairs 1. Age of the Buccaneers 1. Golden Age of Piracy 1. TRUE clean column names. Namesmake. namesnames. Years. activeifelseis. Years. active,Years. Active,Years. active, empty table cells should be NA. Drive 2011 Workprint here. Years. activeparsecharacterYears. LifeparsecharacterLife, god, I hate windows. R on Win will chocke on and characters, so replace them with ASCII. U2. 01. 2 to U2. Lifestringr strreplaceallLife,u. Years. activestringr strreplaceallYears. Name,Life,Country. Years. active,CommentsWith the raw data pulled, we now need to clean it a bit. Our goal is to generate a data set of the pirating times of each individual pirate. Wiki lists the active times, the flourished times, andor the life times. Well split the age columns usually yyyy yyyy into two, providing some padding if there is only one of the dates available. After this, well clean up the columns into integer columns, ignoring the rows with did not provide accurate enough year data e. This is a fun project, not a scientific one. Life. parsedgsubb. Life,Life. Life. parsed,Years. Years. active, move the flourished dates to its own column. Life. parsed,gsubfl. Life. parsed,as. NA, remove flourished dates from life. Life. parsedifelsegreplfl. Life. NA,Life. parsed split the life, active, and flourished years into 2 columns startstop, each. Life. parsed,cborn,died,sep ,extramerge,fillright separateYears. FALSE separateflourished,cfl. FALSE. mutateatvarsborn,died,active. FALSE,piracing. stop, finally, lets get single year startstops cleaned up. Name,Life,piracing. Country. of. origin,everythingWith the dataset now sufficiently cleared up, we will now change the dates to decades only so change 1. Well graph our data by decade. Well use some rowwise do magic to generate one row per pirate per activity decade so two rows if he was active from 1. We will add up the pirates active in each decade to get to our visualisation of pirate activity, and some pirates were active for far longer than others building the pirate activity, with each pirate having one row per decade in which he was active. L. 0L,piracing. L. L,arrrpiracing. Country. Country. of. origin,other filterpiracing. Name. Name,Life. Life,piracing. L,arrr. arrr,Country. Country. of. origin,country. As. FactorsFALSEWith the data now set up, we can set out to graph the pirate activity, and then also to build a random pirate generator Pirates in Action. Lets take a look at the countries these famous pirates came from pirates. Country. of. origin tallysortTRUE head1. Country. of. originn. England. 10. 8Netherlands. France. 39. Unknown. Colonial America. United States. 19. Spain. 10. China. Venezuela. 8Germany. Ireland. 7Wales. 7Scotland. Ottoman Empire. 4Portugal. England is over represented by quite a large margin, especially if you group WalesScotlandIreland, and potentially Colonial America. The Netherlands and France come in second and third place, respectively. No big surprises here. Well pull the data on pirate activity to build a graph of the overall pirate activity over the decades. This is a rather straightforward bar chart pirate activity per decade. Arrr tivity of famous pirates per decaden u. One can nicely see the increase in pirates activity during the Golden Age roughly 1. It drops shortly in 1. The middle of the 1. Wikipedia, until piracy starts again around 1. English French wars. The Somalian pirates of the 2. This leads us to the next questions Somalia was the heyday of pirates in the 2. When was a countrys individual golden age of pirating To answer this, well build a ridgeplot formaly also known as a joyplot, from the Joy Division band t shirt the name is now discouraged for obvious reasons, showcasing the density plots of pirate activity per country. Rapidshare Office Xp on this page. Country. of. originintop. Country. of. origin,fillCountry. Pirate activity by countryn u. The usual suspects add up nicely England, the Netherlands, France. Its interesting to see Germany show up as early around 1. These are the pirates of the Hansa, mostly. Venezuela also had a late blooming pirate life in the 1. Interesting, I had not known about that A Pirates Life For Me With the historical data on pirates and their activity times, we can also try to generate a random pirate storyFor this, we will restrict the data to the golden age of piracy, dropping all pirates which started their pirate life before 1. We will want to create a random pirate with a statistically correct starting year of piracy, a statistically correct piracy tenure, and varnish him or her with a random pirate name Golden Age Pirate starting piracy year. Lets start with the pirating starting activity year. Unfortunately, its a heavily left skewed distribution, and after some hours of looking into distributions, I couldnt find a good fit, and well have to resort to pulling from the empirical distribution ie, the data itself for generating a random start year for a pirate f.