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Showing 1 to 15 of 980 data sets matching NUMBER
Data Set/Description Owner Last edited Size Views
Jessie James Animals.csv
Number Of Animal Species In Class/Class Type/Animal Names 41/Mammal/aardvark, antelope, bear, boar, buffalo, calf, cavy, cheetah, deer, dolphin, elephant, fruitbat, giraffe, girl, goat, gorilla, hamster, hare, leopard, lion, lynx, mink, mole 20/Bird/chicken, crow, dove, duck, flamingo, gull, hawk, kiwi, lark, ostrich, parakeet, penguin, pheasant, rhea, skimmer, skua, sparrow, swan, vulture, wren 5/Reptile/pitviper, seasnake, slowworm, tortoise, tuatara 13/Fish/bass, carp, catfish, chub, dogfish, haddock, herring, pike, piranha, seahorse, sole, stingray, tuna 4/Amphibian/frog, frog, newt, toad 8/Bug/flea, gnat, honeybee, housefly, ladybird, moth, termite, wasp 10/Invertebrate/clam, crab, crayfish, lobster, octopus, scorpion, seawasp, slug, starfish, worm
jesjameOct 7, 20194KB34
Cesar L period 4
The data shows the consistency of gender and number of photos on a person's phone. The data is relatively random between age some was collected on campus although most was collected at a party.The center of the data for males is between 200 to 500, for females the center of the data is between 1000 to 2000. The males have a much smaller spread than the females, males have super condensed spread because a lot of the data for the males is between 100 to 1000 making the spread very compact. As for the females there spread is extremely flexible there data is mostly at about 100 and goes up to 3000 making the spread distributed fairly spread out. Both of the groups of people have skewed right data although females have there data skewed right a lot more due to there being outliers way up there in the 6000 plus photos, meanwhile males are also skewed right but its not so eye catching as the females because there are less outliers and those outliers are significantly closer to the rest of the data.
cesar1442Oct 7, 2019449B49
Movie Budgets and Box Office Earnings (Updated Spring 2018)
This data all comes from the following website the tracks the financial performance of movies:

The “Budget”, “Domestic Gross”, and “Worldwide Gross” columns each are in millions of dollars.

statcrunch_featuredOct 4, 2018270KB16737
Christmas tree sales: Real vs. Fake 2004-2016
This data set contains the number of real and fake Christmas trees sold in the US between 2004 and 2016.
statcrunch_featuredNov 13, 2018398B4305
New York City Leading Causes of Death (2007-2014)
This data set breaks down the leading causes of death in New York City between 2007-2014. Included is the number of Deaths (Deaths) for each combination of Sex and Race Ethnicity. The Death Rate represents the rate within that Sex/ Race Ethnicity category. Age Adjusted Death Rate adjusts the Death Rate by the ages of those who died.
statcrunch_featuredAug 1, 201896KB5056
Flight Delay Data For July 2014
This data set contains information on the flight delays for each airline at each U.S. airport in July of 2014. The columns include the carrier, airport city/state, airport code, airport name, total number of flights (Flights), the number of delayed flights (Delayed), the number of cancelled flights (Cancelled), the number of diverted flights (Diverted), the number of on-time flights (On-time), and the on-time percentage (On-time Percentage).
statcrunch_featuredJan 2, 201888KB7211
All MLB Salaries (1985-2015)
This data has all MLB player salaries between 1985-2015 including the team played for, the city, and a unique ID for each player. Total this includes 25,575 salaries for 4,963 different baseball players.
The player ID is the first 5 letters from the last name, followed by the first two letters from the first name, followed by a number in case of duplicate names. For example, bondsba01 stands for Barry Bonds with "01" because he's the first with the "bondsba" name ID.
statcrunch_featuredJun 27, 20171MB5573
US Presidential Data
This data set gives information on the US Presidents from 1789-2019. The following data is included: College, Religion, Number of Children, Age at Inauguration, Year of Inauguration, Date at Death, Political Party, and Occupation
khoffman2014Sep 29, 20193KB299
Cereal Brands
Data on several variable of different brands of cereal. Number of cases: 77 Variable Names: Name: Name of cereal mfr: Manufacturer of cereal where A = American Home Food Products; G = General Mills; K = Kelloggs; N = Nabisco; P = Post; Q = Quaker Oats; R = Ralston Purina type: cold or hot calories: calories per serving protein: grams of protein fat: grams of fat sodium: milligrams of sodium fiber: grams of dietary fiber carbo: grams of complex carbohydrates sugars: grams of sugars potass: milligrams of potassium vitamins: vitamins and minerals - 0, 25, or 100, indicating the typical percentage of FDA recommended shelf: display shelf (1, 2, or 3, counting from the floor) weight: weight in ounces of one serving cups: number of cups in one serving rating: a rating of the cereals
statcrunch_featuredApr 3, 20174KB8659
Messerli (2012) examined the relationship between the number of Nobel Prize winners in a country and chocolate consumption in that country. Chocolate consumption was measured in kg eaten per person per year, and Nobel Prize winners were measured in number of prizes won per 100 million citizens. The data are given below:
williamsjl8Sep 12, 2019463B228
Etheridge Tongue Twister
number of seconds to say Irish Wrist Watch tongue twister 5 times
scetheridgeAug 27, 2019166B210
Crime in the United States 2017
Number of crimes committed in the united states by using different weapons
monaco1996May 2, 20192KB1037
xwncc-nursing workplace
I chose this data because I find it interesting to see the number of nurses with a BSN compared to an ADN since you take the same licensing exam and in rural areas, such as ours, you are paid the same amount.
beccarhea76Aug 21, 20191KB225
Major League Players Elected to Hall of Fame as Players
Includes 2019 BBWAA-elected inductees Mariano Rivera, Edgar Martinez, Roy Halladay, and Mike Mussina. 31 variables for each player. Team=primary team; BBWAA=Baseball Writers Association of America; Bat: R=right, L=left, B=both; WAR=Wins Against Replacement: number of wins the player added to the team above what an "average" replacement player would add. CS=caught stealing. OPS=On-base Plus Slugging; as a rule of thumb, a "good" OPS is a value that when divided by 3 results in a value that would be considered a "good" batting average. Other variables are hopefully self-explanatory.
treilandJan 25, 201937KB6237
Oscar nominations
The data set contains the year, category, nominee and whether they won for all academy award nominations from 1927 through 2006. A good exercise is to use StatCrunch to compute the number of nominations for each actress in the ACTRESS (all caps) category along with the first and last year they were nominated.
websterwestMar 10, 2008450KB3539

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