The final table of nine is set at the Card Player Poker Tour main event at the Atlantis Casino Resort Spa in Reno, Nevada.
A total of 39 players remained heading into day 2, all battling it out for a spot in the money as one of the final 18 players. Making it that far meant a $2,119 payday. Falling short meant going home empty handed.
After running into the buzzsaw that was John Miner, 2007 WSOP main event champion Jerry Yang had the unfortunate distinction of being named the tournament’s official bubble boy, busting in 19th place. Yang made his final move with A-K, only to lose a flip against Miner’s pocket fours.
Ans: Tableau has 4 main products. Tableau Prep: Tableau Prep is responsible for preparing data for analysis. This tool provides 3 coordinated views which provide us with a complete picture of data. Tableau Desktop: Tableau Desktop is the place where the analysis happens. It has a powerful drag and drops analytics which is very easy to use. After you connect to your data, Tableau does the following: Opens a new worksheet. This is a blank slate where you can create your first view. Displays the data source you are connected to. If you are using multiple data sources, you can see them all listed here. Adds columns from your data source to the Data pane on the left-hand side. How Tableau is fitting into the Salesforce family. This week wanting to learn about how life may change as a result of its acquisition by Salesforce in a $15.7 billion all-stock deal in May.
After all, in recent years AI researchers have made tremendous progress across different complex games such as checkers, chess, Go, two-player poker, StarCraft 2, and Dota 2. All those games are constrained to only two players and are zero-sum games (meaning that whatever one player wins, the other player loses).
Miner continued to run well throughout the day, getting action on his big hands and coming from behind when he had the worst of it. Heading into the final table, he’ll be way ahead of the 316,000 average with 808,000 in chips.
/https%3A%2F%2Fspecials-images.forbesimg.com%2Fimageserve%2F5d28a21d34a5c400084b2b50%2F0x0.jpg "Game")
Joining him as the other big stack left in the tournament is Jerry Morrell with 500,000.
Join us at CardPlayer.com Monday at 3:00 P.M. PST for the final table webcast, which will feature video coverage of all the action.
Visit the tournament results page to see a list of those who finished in the money.
Tableau Main Poker All In Poker
Here is a look at the chip counts entering the final table.
| Player Name | Chip Count |
| John Miner | 808,000 |
| Jerry Morrell | 500,000 |
| Jeff Spruitenburg | 316,000 |
| Billy Lee | 302,000 |
| Ralph Kingan | 301,000 |
| Dustin Fox | 257,000 |
| Tanya Kirk | 202,000 |
| Matt Kramer | 114,000 |
| Steven Michaelis | 44,000 |
You've been playing with Tableau and its sample data sets, but now you're ready to find some data that's a little more fun. Where do you start?
There are countless sources of data you can bring in to Tableau - some easily, and others that require data cleaning and shaping. In this post we'll highlight a few favorites, but we'll provide a more extensive list for you to explore too. If you're looking for links to data sources or data cleaning, skip down to the bottom of the post.
Tableau Public
This might be obvious, but in addition to the sample data sets, did you know you can download Tableau workbooks directly and get started vizzing with Tableau-ready data? It's true. Spend time looking through vizzes by our incredible Featured Authors or in our Viz of the Day and Greatest Hits galleries.
While you're getting inspired, scroll to the bottom of the viz in the viz toolbar and click Download. If Tableau Workbook is available, then you can open the workbook directly and start vizzing! Don't worry, you won't change anything about the original viz - this is now your copy to use as a learning tool. One tip: if you download someone else's work in order to learn, don't forget to include an attribution somewhere on the viz so credit goes where credit's due!
Tableau Main Poker All In A Game
Data is Plural
Jeremy Singer-Vine's weekly tiny letter has been a treasure trove of cool data since 2015. Sign up and you'll get data delivered to your inbox, forcing you to choose each week which data set will finally get your attention. I've seen data about refugee routes, retiree language preferences (courtesy of the Social Security administration!), linguistics, movie ratings...more data than I could viz in a lifetime.
data.world
data.world is a social data platform where users upload data sets to encourage collaboration. Members of data.world's community improves the data through the addition of supplemental content, data cleaning, or by adding visualizations. It's rich with diverse data sets and users, and an excellent platform for collaborative analysis.
Research Pipeline
This data wiki and accompanying blog is a passion project from researcher Lyndie Chiou, and is a bonanza of science data. Science has its own vocabulary and each subject its own tools, so be warned: data cleaning will be required. But any list that includes data for the wooly mammoth genome on the same page as the Hubble data archive is worth a second look.
Still haven't seen a data source that inspires you? Check out our recent webinar, 10 Data sources you can use in class, or download our list of 30 data sources, complete with descriptions of the sites, the formats of data, and any gotchas you might encounter.
Data Cleaning Resources
You say you already have a data set, but you need help cleaning it? Look no further. Here are some resources to get you started.