GEOFABRIK // Home. Cloud & Managed Services Provider. Box plot. In descriptive statistics, box plot or boxplot is a convenient way of graphically depicting groups of numerical data through their quartiles.
Box plots may also have lines extending vertically from the boxes whiskers indicating variability outside the upper and lower quartiles, hence the terms box-and-whisker plot and box-and-whisker diagram. Outliers may be plotted as individual points. This is also called a "box and whisker plot". Box plots are non-parametric: they display variation in samples of a statistical population without making any assumptions of the underlying probability distribution statistical distribution.
The spacings between the different parts of the box indicate the degree of statistical dispersion (spread) and skewness in the data, and show outliers. Types of boxplots[edit] Figure 2. Figure 3. Any data not included between the whiskers should be plotted as an outlier with a dot, small circle, or star, but occasionally this is not done. Variations[edit] Figure 4.
If. MapR. The C10K problem. [Help save the best Linux news source on the web -- subscribe to Linux Weekly News!] It's time for web servers to handle ten thousand clients simultaneously, don't you think? After all, the web is a big place now. And computers are big, too. You can buy a 1000MHz machine with 2 gigabytes of RAM and an 1000Mbit/sec Ethernet card for $1200 or so. Let's see - at 20000 clients, that's 50KHz, 100Kbytes, and 50Kbits/sec per client. In 1999 one of the busiest ftp sites, cdrom.com, actually handled 10000 clients simultaneously through a Gigabit Ethernet pipe. And the thin client model of computing appears to be coming back in style -- this time with the server out on the Internet, serving thousands of clients. With that in mind, here are a few notes on how to configure operating systems and write code to support thousands of clients. Contents Related Sites See Nick Black's execellent Fast UNIX Servers page for a circa-2009 look at the situation.
Book to Read First. Business analytics and business intelligence leaders - Pentaho. Konstanz Information Miner. Fast Analytics and Rapid-fire Business Intelligence from Tableau Software. High-Performance Analytics - L'architecture Big Data de SAS. Spark Cluster Computing Framework. Hadoop Download. Future of big data using Apache Hadoop.