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Data Set/Description Owner Last edited Size Views
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, 2019449B47
Super Heroes
This data set originally came from the following website: https://www.kaggle.com/claudiodavi/superhero-set. It contains various physical characteristics for over 700 fictional comic book super heroes.
statcrunch_featuredAug 1, 201847KB8413
Responses to March Madness
This data came from the following survey posted on the StatCrunch homepage during Spring of 2019: https://www.statcrunch.com/5.0/surveyedit.php?surveyid=22954&code=ASJUU
scsurveySep 26, 201948KB99
Guns Ownership and Deaths by Firearms by State

The composite of two datasets from StateMaster.com, this dataset shows the percentage of survey respondents* who indicated that there is a firearm in the home [http://www.washingtonpost.com/wp-srv/health/interactives/guns/ownership.html] and the number of deaths by firearms per 100,000 population (most recent) [http://www.statemaster.com/graph/cri_mur_wit_fir-death-rate-per-100-000].

*In 2001 the Behavioral Risk Factor Surveillance System (BRFSS) in North Carolina surveyed 201,881 respondents nationwide, asking them, "Are any firearms now kept in or around your home? Include those kept in a garage, outdoor storage area, car, truck, or other motor vehicle."

mshelly33702Aug 29, 20102KB4270
American Vacation Stops
This Pareto graph shows the top vacations spots surveyed from a sample of 3000 people. I used a Pareto because a pie chart does not disciminate the close percentages enough to accurately read the data. The data is categorical because the variables can only be measured in categories The graph illustrates people's choice vacation stop by starting from the America destinations with the highest preference to the lowest. I'm not exactly sure how accurate this data due to the fact that I am unaware of the sample that was surveyed. The link to both the Pareto graph and the pie chart are below http://www.chartgo.com/trans.jsp?filename=chartgo&img=chart1&id=7AA882731C4A22B604345742A8D62B1D_4951 (Pareto graph) http://www.chartgo.com/trans.jsp?filename=chartgo&img=chart1&id=3FAE32B6E8FD6ACE29577C2262E3E142_5112 (Pie Chart)
astra028May 5, 2013431B1362
Husson Spring 2016 Data
Gender: Female or Male ||| Sports: play on sports team, Yes or No ||| Height: height in inches ||| Handedness: Left or Right ||| Left Handspan: left handspan in inches ||| Right Handspan: right handspan in inches ||| Favorite Color: favorite color selected from purple, blue, green, yellow, orange, red ||| Speed: fasted speed driven in mph ||| Eye Color: eye color selected from blue, brown, other ||| Previous Stats: taken a course in statistics before this one, None, HS = high school, College, Both = HS and College ||| Year: First, Sophomore, Junior, Senior ||| Major: one of a number of majors ||| Feelings: feelings about math, Hate, Dislike, Neutral, Like, Love ||| FeelingsNum: rank of Feelings, 1 = Hate, 2 = Dislike, 3 = Neutral, 4 = Like, 5 = Love ||| Section: course section
moyerjMar 9, 201620KB1247
Hospital Length of Stay
Code Book is: Departments 1 Ophthalmology (Eye) 2 General Surgery 3 Oncology (cancer) 4 Orthopedics (bones) 5 Pediatrics (children) 6 Radiology (x-rays) Gender 0 Male 1 Female Length in Stay (days)
ctorresrApr 14, 2019978B411
Gun Ownership by State (2001)
In 2001 the Behavioral Risk Factor Surveillance System (BRFSS) in North Carolina surveyed 201,881 respondents nationwide, asking them, "Are any firearms now kept in or around your home? Include those kept in a garage, outdoor storage area, car, truck, or other motor vehicle."
mshelly33702Aug 24, 20102KB436
ms 132 fall 2015
gender: M or F ||| sports: play on sports team, Y or N ||| height: height in inches ||| handedness: R or L ||| Lhandspan: left handspan in inches ||| Rhandspan: right handspan in inches ||| fave color: favorite color selected from purple, blue, green, yellow, orange, red ||| speed: fasted speed driven in mph ||| eye color: eye color selected from blue, brown, other ||| previous stats: taken a course in statistics before this one, No, HS = high school, College, Both = HS and College ||| math feeling: feelings about math, Hate, Dislike, None, Like, Love
moyerjSep 15, 20156KB626
Who's the greatest president?
This data set contains the results of the Zogby Presidential Greatness Poll over the years from 2006 to 2008. The survey each year contains the results from 1026 likely voters. The Positive column shows the proportion of those surveyed that think the president was great or near great. The Negative column shows the proportion of those surveyed that think the president was below average or a failure.
websterwestFeb 28, 20081.012B361
Dog Show Raw Data and Tables.xlsx
Raw data for n=150 people surveyed at a dog show regarding their favorite breed. Data is useful for creating frequency and relative frequency tables and bar and pie charts.
jhanteAug 1, 20184KB380
T&C Final Project
Tamara & Cheyenne's final project: Are men tardy more often than women
skarasmooreApr 17, 2018251B99
FuelCost2000_2007.xlsx
Clean Cities Alternative Fuel Price Reports, (http://www.afdc.energy.gov/fuels/prices.html) Electricity prices are taken from EIA's Real Prices Viewer (http://www.eia.gov/forecasts/steo/realprices/). Notes: *Electricity prices are reduced by a factor of 3.4 because electric motors are 3.4 times as efficient (on a BTU basis) as internal combustion engines. Efficiency adjustments were not made for other fuels because they are much smaller and inconsistent. Residential electricity prices were used because most recharging events occur at home. Residential real prices were converted to $/GGEs at a conversion of 33.7 kWh per GGE (per AFDC www.afdc.energy.gov/fuels/fuel_properties.php), then adjusted for efficiency because electric vehicles are 3.4 times as efficient as internal combustion engines (per GREET 1 2012 rev2 http://greet.es.anl.gov/) **Propane prices reflect the weighted average of "primary" and "secondary" stations. Primary stations have dedicated vehicle services and tend to be less expensive. Secondary stations are priced for the tanks and bottles market, and tend to be more expensive. Secondary stations are over-represented in the above chart because they comprise only 56% of the propane stations registered in the AFDC but approximately 75% of the stations in the price report. For data collection methodology, please see the actual price report. The number of stations surveyed, and therefore the quality of the data, increase throughout time. The most notable increase was for the 9/1/05 report. CNG, Propane, E85, and B20 prices were median prices before 9/1/05 and mean prices after this date. Starting in the 9/1/05 issue, prices were averaged over longer periods (generally 1 month rather than 1 week). Worksheet available at www.afdc.energy.gov/data/ Last updated 5/17/2017
ybutterworthJun 8, 20173KB194
Statistics Survey Pocket Change
Students in an LMC statistics class conducted a research survey to find if people carried more than 50 cents in their pockets. The students surveyed 125 people, in as close to a random sample as possible. The survey was conducted in 2018.
lmcmath34Jul 8, 2018662B293
FuelMoistureForStatCrunch.xlsx
1972-2011 fire season (May 15-Oct 31) fuel moisture and max temperature data from Meyers (ID 042607) remote automated weather station (RAWS)
rstriplin01Jun 8, 2012248KB88

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