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Statistical data type
In statistics, count data is a statistical data type describing countable quantities, data which can take only the counting numbers, non-negative integer
Count_data
Unit of information
data Data (computer science) Data acquisition Data analysis Data bank Data cable Data center Data curation Data domain Data element Data farming Data
Data
Direct access storage device data recording format
Count key data (CKD) is a direct-access storage device (DASD) data recording format introduced in 1964, by IBM with its IBM System/360 and still being
Count_key_data
Annual report on child welfare in the US
The Kids Count Data Book is an annual publication of the Annie E. Casey Foundation—at times in cooperation with the Center for the Study of Social Policy—reporting
Kids_Count_Data_Book
Class of statistical models
of generalized linear models includes Poisson regression which models count data using the Poisson distribution. The link is typically the logarithm, the
Generalized_linear_model
Data whose unit can take on only two possible states
categorical data, binary data can be converted to a vector of count data by writing one coordinate for each possible value, and counting 1 for the value
Binary_data
Gathering information for analysis
Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables
Data_collection
Statistical model allowing for frequent zero values
observations. Zero-inflated models are commonly used in the analysis of count data, such as the number of visits a patient makes to the emergency room in
Zero-inflated_model
Taxonomy of statistical data elements
directions, e.g. wind measurements), count (a whole number of events), or real intervals (e.g. measures of temperature). The data type is a fundamental concept
Statistical_data_type
Routine laboratory test of blood cells
A complete blood count (CBC), also known as a full blood count (FBC) or full haemogram (FHG), is a set of medical laboratory tests that provide information
Complete_blood_count
Statistical method
chi-squared test) is a statistical test commonly used when analyzing count data organized in a contingency table, particularly when sample sizes are small
Yates's correction for continuity
Yates's_correction_for_continuity
Class of statistical models
models were later developed for count data, with Poisson, geometric, and negative binomial models for the non-zero counts. Hurdle models differ from zero-inflated
Hurdle_model
Statistical model for count data
a generalized linear model form of regression analysis used to model count data and contingency tables. Poisson regression assumes the response variable
Poisson_regression
Algorithmically generated data that have a similar distribution as sampled data
Synthetic data are artificially generated data not produced by real-world events. Typically created using algorithms, synthetic data can be deployed to
Synthetic_data
Vedic measure of Count data
Vedic measure of Count data, which was chiefly used in ancient as well as medieval India. A Sahasra means 1k, i.e. 1000 count data Hindu cosmology History
Sahasra
Baseball statistic
career Madduxes with 13 since 1988, the first year of complete pitch count data. Zane Smith has the second-most career Madduxes with seven, and shares
Maddux_(statistic)
Finding the number of elements of a finite set
counting for at least 50,000 years. Counting was primarily used by ancient cultures to keep track of social and economic data such as the number of group members
Counting
Measure of the asymmetry of random variables
of a typical center of the data. A right-skewed distribution usually appears as a left-leaning curve. Skewness in a data series may sometimes be observed
Skewness
Type of statistics
A descriptive statistic (in the count noun sense) is a summary statistic that quantitatively describes or summarizes features from a collection of information
Descriptive_statistics
Statistical concept
statistics, missing data, or missing values, occur when no data value is stored for the variable in an observation. Missing data are a common occurrence
Missing_data
Distinction between nominal, ordinal, interval and ratio variables
and Nelder (1990) described continuous counts, continuous ratios, count ratios, and categorical modes of data. See also Chrisman (1998), van den Berg
Level_of_measurement
American charitable foundation
in the United States. The AECF publishes annual data on child well-being through its Kids Count Data Book. The AECF was started in 1948 in Seattle by
Annie_E._Casey_Foundation
Statistical technique for smoothing categorical data
technique used to smooth count data, eliminating issues caused by certain values having 0 occurrences. Given a set of observation counts x = ⟨ x 1 , x 2 , …
Additive_smoothing
Statistical technique
to binary data given the presence/absence coding represents simplified count data i.e. a 1 describes a positive count and 0 stands for a count of zero.
Correspondence_analysis
Measure of statistical dispersion
(IQR) is a measure of statistical dispersion, which is the spread of the data. The IQR may also be called the midspread, middle 50%, fourth spread, or
Interquartile_range
Study of collection and analysis of data
collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it
Statistics
Probabilistic data structure in computer science
computing, the count–min sketch (CM sketch) is a probabilistic data structure that serves as a frequency table of events in a stream of data. It uses hash
Count–min_sketch
Nonparametric measure of rank correlation
are only applicable to continuous random variable data, but have certain advantages over the count matrix approach in this setting. The first advantage
Spearman's rank correlation coefficient
Spearman's_rank_correlation_coefficient
Class of statistical survival models
any consideration of the full hazard function. This approach to survival data is called application of the Cox proportional hazards model, sometimes abbreviated
Proportional_hazards_model
Number of pitches thrown by a pitcher in a baseball game
In baseball statistics, pitch count is the number of pitches thrown by a pitcher in a game. Pitch counts are especially a concern for young pitchers, pitchers
Pitch_count
Statistical modeling method
examples of GLMs are: Poisson regression for count data. Logistic regression and probit regression for binary data. Multinomial logistic regression and multinomial
Linear_regression
Statistical relationship
correlation Lift (data mining) Mean dependence Modifiable areal unit problem Multiple correlation Point-biserial correlation coefficient Quadrant count ratio Spurious
Correlation
Data missing or collected but not analysed
Dark data is data which is acquired through various computer network operations but not used in any manner to derive insights or for decision making. The
Dark_data
Process of using data analysis for predicting population data from sample data
Statistical inference is the process of using data analysis to infer properties of an underlying probability distribution. Inferential statistical analysis
Statistical_inference
Facility used to house computer servers
Data Center Key to Latin American Connectivity". Archived from the original on June 18, 2025. Retrieved May 21, 2025. "Hyperscale Data Center Count Hits
Data_center
Tracking system for music and music video sales
published Billboard 200 and Country Album charts based on SoundScan "piece count data", and the first Hot 100 chart to debut with the system was released on
Luminate_(company)
Statistic measuring inter-rater agreement for categorical items
Suppose the disagreement count data were as follows, where A and B are readers, data on the main diagonal of the matrix (a and d) count the number of agreements
Cohen's_kappa
Middle quantile of a data set or probability distribution
the higher half from the lower half of a data sample, a population, or a probability distribution. For a data set, it may be thought of as the "middle"
Median
Discrete, discontinuous representation of information
Digital data or digital information, in information theory and information systems, is data or information represented as a string of discrete symbols
Digital_data
Measurement of how many vehicles travel on a certain road
called continuous count data collection method. This method includes sensors that are permanently embedded into a road and traffic data is measured for
Annual_average_daily_traffic
Selection of data points in statistics
judiciously. Sampling has lower costs and faster data collection compared to a census recording data from the entire population (in many cases, collecting
Sampling_(statistics)
Metric for fit of statistical models
_{i=1}^{n}{{\frac {(O_{i}-E_{i})}{E_{i}}}^{2}}} where: Oi = an observed count for bin i Ei = an expected count for bin i, asserted by the null hypothesis. The expected
Goodness_of_fit
Presence of greater variability in a data set than would be expected
dictated by the nature of the empirical data. For example, Poisson regression analysis is commonly used to model count data. If overdispersion is a feature,
Overdispersion
Statistical property quantifying how much a collection of data is spread out
ratio – mostly used for count data when the term coefficient of dispersion is used and when this ratio is dimensionless, as count data are themselves dimensionless
Statistical_dispersion
Normalized measure of the dispersion of a probability distribution
non-zero, and is generally only used for positive statistics, such as count data or time between events, or where the underlying distribution is assumed
Index_of_dispersion
Parts of a whole which carry only relative information
sampled count data". pp. 2022–05.06.490859. bioRxiv 10.1101/2022.05.06.490859. Aitchison, J. (2011) [1986], The Statistical Analysis of Compositional Data, Monographs
Compositional_data
Type of average of a collection of numbers
the mean or average is the sum of a collection of numbers divided by the count of numbers in the collection. The collection is often a set of results from
Arithmetic_mean
Graphical representation of the distribution of numerical data
represented as empty and not skipped.) The data used to construct a histogram are generated via a function mi that counts the number of observations that fall
Histogram
Condition in which the value of a measurement or observation is only partially known
only measure up to 140 kg, after which it rolls over 0 and continues to count up from there. If a 160 kg individual is weighed using the scale, the observer
Censoring_(statistics)
Topics referred to by the same term
Count data, a statistical data type Count key data, a data recording format Count Dracula (disambiguation) Count Me In (disambiguation) Count Me Out
Count_(disambiguation)
Simultaneous observation and analysis of more than one outcome variable
of both how these can be used to represent the distributions of observed data; how they can be used as part of statistical inference, particularly where
Multivariate_statistics
Set of statistical processes for estimating the relationships among variables
regression, in which one finds the line or hyperplane that most closely fits the data according to a specific mathematical criterion. For example, the method of
Regression_analysis
Inexact statistical measure
the data than would be expected from the statistical model used. It is most often used with models for count data or grouped binary data, i.e. data that
Quasi-likelihood
Measure of linear correlation
correlation coefficient that measures linear correlation between two sets of data. It is the ratio between the covariance of two variables and the product
Pearson correlation coefficient
Pearson_correlation_coefficient
Data combined from several measurements
data are applied in statistics, data warehouses, and in economics. There is a distinction between aggregate data and individual data. Aggregate data refers
Aggregate_data
Grouping a set of objects by similarity
count the number of data points from the most common class in said cluster. Now take the sum over all clusters and divide by the total number of data
Cluster_analysis
Type of statistical measure over subsets of a dataset
mean) is a calculation to analyze data points by creating a series of averages of different selections of the full data set. Variations include: simple
Moving_average
Organized raw data that has not been otherwise processed or transformed
analyzing the data. There are two major types of grouping: data binning of a single-dimensional variable, replacing individual numbers by counts in bins; and
Grouped_data
Method of estimating the parameters of a statistical model, given observations
some observed data. This is achieved by maximizing a likelihood function so that, under the assumed statistical model, the observed data is most probable
Maximum_likelihood_estimation
Number taken as representative of a list of numbers
arithmetic mean, also known as "arithmetic average" i.e. the sum divided by the count, so the "average" of the list of numbers [2, 3, 4, 7, 9] is generally considered
Average
basic pitch count estimator is a statistic used to estimate the number of pitches thrown by a pitcher where there is no pitch count data available. The
Basic_pitch_count_estimator
Measure of variation in statistics
standard deviation of a random variable, sample, statistical population, data set or probability distribution is the square root of its variance (the variance
Standard_deviation
American statistician
specializes in count data and statistical dispersion, and is "the leading expert" on the Conway–Maxwell–Poisson distribution for count data. She has also
Kimberly_Sellers
Property of magnitude or multitude
an integer representing the count of a denumerable collection of objects (apples) 500 people (also a type of count data) a couple conventionally refers
Quantity
Measure of goodness of fit for a statistical model
used for binary data Pearson's chi-squared test, an alternative quality of fit statistic for generalized linear models for count data Peirce's criterion
Deviance_(statistics)
Estimator for quality of a statistical model
relative quality of statistical models for a given set of data. Given a collection of models for the data, AIC estimates the quality of each model, relative
Akaike_information_criterion
Number of occurrences in an experiment or study
often used like Greek, Latin, etc. Mathematics portal Aperiodic frequency Count data Cross tabulation Cumulative distribution function Cumulative frequency
Frequency_(statistics)
Compilation of information about a given population
other official sources of data.[clarification needed] For instance, during the 2020 U.S. Census, the Census Bureau counted people primarily by collecting
Census
Table that displays the frequency of variables
matrix Pivot table, in spreadsheet software, cross-tabulates sampling data with counts (contingency table) and/or sums. TPL Tables is a tool for generating
Contingency_table
Two different methods for presenting tabular data
different presentations for tabular data. The terms used vary by community and software: Wide and long: Common in modern data science and time-series analysis
Wide_and_narrow_data
Method of statistical inference
hypothesis test is a method of statistical inference used to decide whether the data provides sufficient evidence to reject a particular hypothesis. A statistical
Statistical_hypothesis_test
Probability distribution
is widely employed in ecology and biodiversity research for analyzing count data where overdispersion is very common. This is because overdispersion is
Negative binomial distribution
Negative_binomial_distribution
Statistical test
results were obtained (simulated data): The samples are already in the predicted order For each score in turn, count how many scores in the samples to
Jonckheere's_trend_test
Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions
Data_analysis
Application of a function to each point in a data set
the square root transformation or Anscombe transform for Poisson data (count data), the Box–Cox transformation for regression analysis, and the arcsine
Data transformation (statistics)
Data_transformation_(statistics)
Data serialization format
CBOR encoded data is seen as a stream of data items. Each data item consists of a header byte containing a 3-bit type and 5-bit short count. This is followed
CBOR
the most-played mobile games ordered by their player count, which include reported player data, registered accounts, and monthly active users. For non-mobile
List of most-played mobile games by player count
List_of_most-played_mobile_games_by_player_count
Study with uncontrolled variable of interest
attribute. Cross-sectional study: involves data collection from a population, or a representative subset, data collected at a single point in time. Longitudinal
Observational_study
American statistician (1944–2017)
2011), Modeling Count Data (Cambridge University Press, 2014), and Logistic Regression Models (Chapman & Hall/CRC, 2009). Modeling Count Data won the 2015
Joseph_Hilbe
Tool to assess control of a manufacturing process
Digest. Retrieved 2 Apr 2010. Wheeler, Donald J. "What About Charts for Count Data?". Quality Digest. Retrieved 2010-03-23. Deming, W. E. (1975). "On probability
Control_chart
Types of numerical variables in mathematics
Continuous modelling Continuous or discrete spectrum Continuous spectrum Count data Discrete-time stochastic process Discrete geometry Discrete mathematics
Continuous or discrete variable
Continuous_or_discrete_variable
\rho } , and a sample correlation by r {\displaystyle r} . count data Data arising from counting, and which can therefore take only non-negative integer
Glossary of probability and statistics
Glossary_of_probability_and_statistics
figure below, which may differ from other sources who do not cross border count and take consideration in these fluctuations.[clarification needed] List
List of countries by stock market capitalization
List_of_countries_by_stock_market_capitalization
expressed genes from count data or previously normalized count data. NOISeq empirically models the noise distribution of count changes by contrasting
List of RNA-Seq bioinformatics tools
List_of_RNA-Seq_bioinformatics_tools
Type of statistics
are often not met in practice. In particular, it is often assumed that the data errors are normally distributed, at least approximately, or that the central
Robust_statistics
Branch of statistics
function. These estimators require lifetime data. Periodic case (cohort) and death (and recovery) counts are statistically sufficient to make nonparametric
Survival_analysis
Monitoring system in computer drives
Fail Count (chip)". March 9, 2010. Over-Provisioning Benefits for Samsung Data Center SSDs (PDF) (Report). Samsung. March 2019. "SSDs and SMART Data | Crucial
Self-Monitoring, Analysis and Reporting Technology
Self-Monitoring,_Analysis_and_Reporting_Technology
Method of quality control
"Using Statistical Process Control through the Making Data Count approach to visualise data in NHS Trusts: a mixed-methods study". BMJ Leader. BMJ:
Statistical_process_control
Sequence of data points over time
In mathematics, a time series is a sequence of data points indexed, listed, or graphed in chronological order. Most commonly, a time series consists of
Time_series
Circular statistical graph of proportionality
circle. It is used to plot cyclic phenomena (e.g., counts of deaths by month). For example, if the counts of deaths in each month for a year are to be plotted
Pie_chart
Human research survey of public opinion
calculated results will use data for five days counting backwards from the next day, namely the same data as before, but with the data from the next day included
Opinion_poll
The number of vehicles passing an area
traffic demand models or other planning exercises. Traffic counts provide the source data used to calculate the Annual Average Daily Traffic (AADT), a
Traffic_count
Software project for the analysis of genomic data
mean-variance relationship of count data and transforms it to log2-counts per million (CPM). It is used for analysing microarray data and also to calculate CPM
Bioconductor
Approximate distinct counting algorithm
related literature on the count-distinct problem, the term "cardinality" is used to mean the number of distinct elements in a data stream with repeated elements
HyperLogLog
Branch of statistics mathematics
their number Ni per subject is random and finite. Real life example: CD4 count data for AIDS patients. Functional principal component analysis (FPCA) is the
Functional_data_analysis
Measures of the characteristics of, or changes to, a population
another small number such as within 3 of the actual count. Between censuses, administrative data collected by various agencies about population events
Demographic_statistics
Statistical method
estimator by resampling (often with replacement) one's data or a model which is estimated from the data. Bootstrapping assigns measures of accuracy (bias,
Bootstrapping_(statistics)
Study of survey methods
of individual units from a population and associated techniques of survey data collection, such as questionnaire construction and methods for improving
Survey_methodology
Statistical model validation technique
to an independent data set. Cross-validation includes resampling and sample splitting methods that use different portions of the data to test and train
Cross-validation_(statistics)
Statistical models used for static panel data
is a Poisson regression model used for static panel data when the outcome variable is count data. Hausman, Hall, and Griliches pioneered the method in
Fixed-effect_Poisson_model
travel, tourism, insurance
COUNT DATA
COUNT DATA
Surname or Lastname
English (County Durham)
English (County Durham) : variant of Harts. In the U.S. this name is concentrated in NC.
Boy/Male
French
Name of a count.
Surname or Lastname
English and Irish (County Donegal)
English and Irish (County Donegal) : variant spelling of Payton.
Surname or Lastname
English (county Durham)
English (county Durham) : unexplained.
Surname or Lastname
English (County Durham, Cleveland)
English (County Durham, Cleveland) : unexplained.
Surname or Lastname
English
English : topographic name for someone who lived on or near a hill, Middle English mount (from Old English munt, reinforced by Old French mont).Scottish : probably a habitational name from places so called in Peeblesshire, Fife, and Lanarkshire.
Surname or Lastname
English (chiefly County Durham) and Scottish
English (chiefly County Durham) and Scottish : variant spelling of Louden.
Surname or Lastname
English (County Durham)
English (County Durham) : most probably a habitational name from a lost or unidentified place in northern England.
Boy/Male
Shakespearean English French
King Henry V' Soldier in the King's army.
Boy/Male
Indian, Punjabi, Sikh
Beyond Count
Surname or Lastname
English (County Durham)
English (County Durham) : unexplained.
Surname or Lastname
Irish (County Limerick)
Irish (County Limerick) : variant of Hartnett.English : variant of Arnold 1.
Girl/Female
British, English
Courtier
Boy/Male
Cambodian
County.
Surname or Lastname
Irish (County Donegal)
Irish (County Donegal) : Anglicized form of Gaelic Ó Duibhidhir or sometimes of Mac Duibhidhir (see Dwyer, also Dyer).English : of uncertain derivation; possibly from diver, an agent derivative of Middle English dive ‘to dip or plunge’, but if so the application is obscure. It may be a nickname for someone compared to a diving bird. Compare Ducker.
Surname or Lastname
English and French
English and French : topographic name from Middle English, Old French court(e), curt ‘court’ (Latin cohors, genitive cohortis, ‘yard’, ‘enclosure’). This word was used primarily with reference to the residence of the lord of a manor, and the surname is usually an occupational name for someone employed at a manorial court.English : nickname from Old French, Middle English curt ‘short’, ‘small’ (Latin curtus ‘curtailed’, ‘truncated’, ‘cut short’, ‘broken off’).Irish : reduced form of McCourt.
Surname or Lastname
English (County Durham)
English (County Durham) : variant of Jameson.
Boy/Male
French
Name of a count.
Surname or Lastname
English (County Durham)
English (County Durham) : unexplained.French : topographic name for a mountain dweller, from Old French mont ‘mountain’ (Latin mons, montis).Walloon (Belgian French) : habitational name from either of two places called Monty, from Late Latin montile ‘hill’: in Carneux, Liège province or in Corroy-le-Château, Namur province.
Surname or Lastname
English (County Durham)
English (County Durham) : habitational name from a place so named in Tyne and Wear.
COUNT DATA
COUNT DATA
COUNT DATA
COUNT DATA
COUNT DATA
COUNT DATA
COUNT DATA
travel, tourism, insurance