A bar chart or bar graph is a chart A chart is a graphical representation of data, in which "the data is represented by symbols, such as bars in a bar chart, lines in a line chart, or slices in a pie chart". A chart can represent tabular numeric data, functions or some kinds of qualitative structures with rectangular In Euclidean plane geometry, a rectangle is any quadrilateral with four right angles. The term "oblong" is occasionally used to refer to a non-square rectangle. A rectangle with vertices ABCD would be denoted as ABCD bars with lengths In certain contexts, the term "length" is reserved for a certain dimension of an object along which the length is measured. For example it is possible to cut a length of a wire which is shorter than wire thickness. Another example is FET transistors, in which the channel width may be larger than channel length proportional to the values that they represent. The bars can also be plotted horizontally.

Bar charts are used for plotting discrete (or 'discontinuous') data i.e. data which has discrete values and is not continuous. Some examples of discontinuous data include 'shoe size' or 'eye colour', for which you would use a bar chart. In contrast, some examples of continuous data would be 'height' or 'weight'. A bar chart is very useful if you are trying to record certain information whether it is continuous or not continuous data.

Example

The following table lists the number of seats allocated to each party group in European elections in 1999 and 2004. The results of 1999 have been multiplied by 1.16933, to compensate for the change in number of seats between those years. Sometimes it can be horizontal.

This bar chart shows both the results of 2004, and those of 1999:

See also

External links

Wikimedia Commons has media related to: Bar charts
Statistics Statistics is the formal science of making effective use of numerical data relating to groups of individuals or experiments. It deals with all aspects of this, including not only the collection, analysis and interpretation of such data, but also the planning of the collection of data, in terms of the design of surveys and experiments
Descriptive statistics Descriptive statistics are used to describe the main features of a collection of data in quantitative terms. Descriptive statistics are distinguished from inferential statistics , in that descriptive statistics aim to quantitatively summarize a data set, rather than being used to support inferential statements about the population that the data
Continuous data In probability theory, a probability distribution is called continuous if its cumulative distribution function is continuous[citation needed]. This is equivalent to saying that for random variables X with the distribution in question, Pr[X = a] = 0 for all real numbers a, i.e.: the probability that X attains the value a is zero, for any number a
Location In statistics, a location family is a class of probability distributions parametrized by a scalar- or vector-valued parameter μ, which determines the "location" or shift of the distribution. Formally, this means that the probability density functions or probability mass functions in this class have the form Mean There are other statistical measures that use samples that some people confuse with averages - including 'median' and 'mode'. Other simple statistical analyses use measures of spread, such as range, interquartile range, or standard deviation. For a real-valued random variable X, the mean is the expectation of X. Note that not every probability (Arithmetic In mathematics and statistics, the arithmetic mean of a list of numbers is the sum of all of the list divided by the number of items in the list. If the list is a statistical population, then the mean of that population is called a population mean. If the list is a statistical sample, we call the resulting statistic a sample mean, Geometric The geometric mean, in mathematics, is a type of mean or average, which indicates the central tendency or typical value of a set of numbers. It is similar to the arithmetic mean, which is what most people think of with the word "average", except that the numbers are multiplied and then the nth root of the resulting product is taken, Harmonic In mathematics, the harmonic mean is one of several kinds of average. Typically, it is appropriate for situations when the average of rates is desired) · Median In probability theory and statistics, a median is described as the numeric value separating the higher half of a sample, a population, or a probability distribution, from the lower half. The median of a finite list of numbers can be found by arranging all the observations from lowest value to highest value and picking the middle one. If there is · Mode In statistics, the mode is the value that occurs the most frequently in a data set or a probability distribution. In some fields, notably education, sample data are often called scores, and the sample mode is known as the modal score
Dispersion In statistics, statistical dispersion is variability or spread in a variable or a probability distribution. Common examples of measures of statistical dispersion are the variance, standard deviation and interquartile range Range In descriptive statistics, the range is the length of the smallest interval which contains all the data. It is calculated by subtracting the smallest observation from the greatest (sample maximum) and provides an indication of statistical dispersion · Standard deviation In probability theory and statistics, the standard deviation of a statistical population, a data set, or a probability distribution is the square root of its variance. Standard deviation is a widely used measure of the variability or dispersion, being algebraically more tractable though practically less robust than the expected deviation or · Coefficient of variation In probability theory and statistics, the coefficient of variation is a normalized measure of dispersion of a probability distribution. It is defined as the ratio of the standard deviation to the mean : · Percentile A percentile is the value of a variable below which a certain percent of observations fall. So the 20th percentile is the value (or score) below which 20 percent of the observations may be found. The term percentile and the related term percentile rank are often used in descriptive statistics as well as in the reporting of scores from norm- · Interquartile range In descriptive statistics, the interquartile range , also called the midspread or middle fifty, is a measure of statistical dispersion, being equal to the difference between the third and first quartiles
Shape Variance In probability theory and statistics, the variance is used as one of several descriptors of a distribution. It describes how far values lie from the mean. In particular, the variance is one of the moments of a distribution. In that context, it forms part of systematic approach to distinguishing between probability distributions. While other such · Skewness In probability theory and statistics, skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable. The skewness value can be positive or negative, or even undefined. Qualitatively, a negative skew indicates that the tail on the left side of probability density function is longer than the right side and · Kurtosis In probability theory and statistics, kurtosis is a measure of the "peakedness" of the probability distribution of a real-valued random variable. Higher kurtosis means more of the variance is the result of infrequent extreme deviations, as opposed to frequent modestly sized deviations · Moments The concept of moment in mathematics evolved from the concept of moment in physics. The nth moment of a real-valued function f of a real variable about a value c is · L-moments In statistics, L-moments are statistics used to summarize the shape of a probability distribution. They are analogous to conventional moments in that they can be used to calculate quantities analogous to standard deviation, skewness and kurtosis, termed the L-scale, L-skewness and L-kurtosis respectively . Standardised L-moments are called L-
Count data Discrete probability distributions arise in the mathematical description of probabilistic and statistical problems in which the values that might be observed are restricted to being within a pre-defined list of possible values. This list has either a finite number of members, or at most is countable Index of dispersion
Summary tables Grouped data · Frequency distribution In statistics, a frequency distribution is a tabulation of the values that one or more variables take in a sample · Contingency table In statistics, a contingency table is often used to record and analyze the relation between two or more categorical variables
Statistical graphics Statistical graphics, also known as graphical techniques, are information graphics in the field of statistics used to visualize quantitative data Bar chart · Biplot Biplots are a type of exploratory graph used in statistics. A biplot allows information on both samples and variables of a data matrix to be displayed graphically. Samples are displayed as points while variables are displayed either as vectors, linear axes or nonlinear trajectories. In the case of categorical variables, category level points may · Box plot In descriptive statistics, a box plot or boxplot is a convenient way of graphically depicting groups of numerical data through their five-number summaries: the smallest observation (sample minimum), lower quartile (Q1), median (Q2), upper quartile (Q3), and largest observation (sample maximum). A boxplot may also indicate which observations, if · Control chart Control charts, also known as Shewhart charts or process-behaviour charts, in statistical process control are tools used to determine whether or not a manufacturing or business process is in a state of statistical control · Correlogram In the analysis of time series, a correlogram, also known as an autocorrelation plot, is a plot of the sample autocorrelations versus . If cross-correlation is used, it is called a cross-correlogram. The correlogram is a commonly-used tool for checking randomness in a data set. This randomness is ascertained by computing autocorrelations for data · Forest plot A forest plot is a graphical display designed to illustrate the relative strength of treatment effects in multiple quantitative scientific studies addressing the same question. It was developed for use in medical research as a means of graphically representing a meta-analysis of the results of randomized controlled trials. In the last twenty years, · Histogram In statistics, a histogram is a graphical display of tabular frequencies, shown as adjacent rectangles. Each rectangle is erected over an interval, with an area equal to the frequency of the interval. The height of a rectangle is also equal to the frequency density of the interval, i.e., the frequency divided by the width of the interval. The · Q-Q plot In statistics, a Q-Q plot is a probability plot, a kind of graphical method for comparing two probability distributions, by plotting their quantiles against each other. In addition, Q-Q plots can be used as a graphical means of estimating parameters in a location-scale family of distributions · Run chart A run chart, also known as a run-sequence plot is a graph that displays observed data in a time sequence. Often, the data displayed represent some aspect of the output or performance of a manufacturing or other business process · Scatter plot A scatter plot or scattergraph is a type of mathematical diagram using Cartesian coordinates to display values for two variables for a set of data · Stemplot A stemplot , in statistics, is a device for presenting quantitative data in a graphical format, similar to a histogram, to assist in visualizing the shape of a distribution. They evolved from Arthur Bowley's work in the early 1900s, and are useful tools in exploratory data analysis. Stemplots became more commonly used in the 1980s after the · Radar chart
Data collection Data collection is a term used to describe a process of preparing and collecting data - for example as part of a process improvement or similar project. The purpose of data collection is to obtain information to keep on record, to make decisions about important issues, to pass information on to others. Primarily, data is collected to provide
Designing studies Effect size In statistics, an effect size is a measure of the strength of the relationship between two variables in a statistical population, or a sample-based estimate of that quantity. An effect size calculated from data is a descriptive statistic that conveys the estimated magnitude of a relationship without making any statement about whether the apparent · Standard error The standard error of a method of measurement or estimation is the standard deviation of the sampling distribution associated with the estimation method. The term may also be used to refer to an estimate of that standard deviation, derived from a particular sample used to compute the estimate · Statistical power The power of a statistical test is the probability that the test will reject the null hypothesis when the alternative hypothesis is true . As power increases, the chances of a Type II error decrease. The probability of a Type II error is referred to as the false negative rate (β). Therefore power is equal to 1 − β · Sample size determination The sample size of a statistical sample is the number of observations that constitute it. It is typically denoted n, a positive integer
Survey methodology Statistical surveys are used to collect quantitative information about items in a population. Surveys of human populations and institutions are common in political polling and government, health, social science and marketing research. A survey may focus on opinions or factual information depending on its purpose, and many surveys involve Sampling Sampling is that part of statistical practice concerned with the selection of an unbiased or random subset of individual observations within a population of individuals intended to yield some knowledge about the population of concern, especially for the purposes of making predictions based on statistical inference. Sampling is an important aspect · Stratified sampling · Opinion poll · Questionnaire
Controlled experiment Design of experiments · Randomized experiment · Random assignment · Replication · Blocking · Regression discontinuity · Optimal design
Uncontrolled studies Natural experiment · Quasi-experiment · Observational study
Statistical inference
Bayesian inference Prior · Posterior · Credible interval · Bayes factor · Bayesian estimator · Maximum posterior estimator
Classical inference Confidence interval · Hypothesis testing · Sampling distribution · Meta-analysis
Specific tests Z-test (normal) · Student's t-test · F-test · Chi-square test · Pearson's chi-square · Wald test · Mann–Whitney U · Shapiro–Wilk · Signed-rank
General estimation Mean-unbiased · Median-unbiased · Maximum likelihood · Method of moments · Minimum distance · Maximum spacing · Density estimation
Correlation and regression analysis
Correlation Pearson product-moment correlation · Rank correlation (Spearman's rho, Kendall's tau) · Partial correlation · Confounding variable
Linear regression Simple linear regression · Ordinary least squares · General linear model · Analysis of variance · Analysis of covariance
Non-standard predictors Nonlinear regression · Nonparametric · Semiparametric · Isotonic · Robust
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Time series analysis Decomposition · Trend estimation · Box–Jenkins · ARMA models · Spectral density estimation
Survival analysis Survival function · Kaplan–Meier · Logrank test · Failure rate · Proportional hazards models · Accelerated failure time model
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'Bar Chart' News
Jack Ingram Takes Solo Show to Upscale Wine Bar in New York City - CMT.com
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Jack Ingram Takes Solo Show to Upscale Wine Bar in New York City

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He's a rocker. He's a troubadour. He's a chart -scaling, larger-than-life Nashville star. His name is Jack Ingram, and he plays country music.
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Tue Apr 6 19:51:48 2010
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Cumulative Sum Expressions - Bar chart - TIBCO Spotfire Community
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Cumulative Sum Expressions - Bar chart - TIBCO Spotfire Community

mrhall

hu, 25 Mar 2010 15:25:55 GM

I'm trying to have multiple cumulative sum expressions on the Y axis using the OVER function. It defaults to only allowing one. Are you able to have multiple custom expressions on a . chart. ? Not running 3.1 yet. ...

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Tue Apr 6 19:51:58 2010
'Bar Chart' Answers
Making a comparative bar chart on Excel?
Q. How do you make a bar chart on Microsoft Excel that compares two sets of data? Thank you for any help I can get.
Asked by BSCRocks - Thu Sep 25 17:54:36 2008 - - 1 Answers - 0 Comments

A. You enter the data in excel then highlight the data. Then go insert, chart, bar. Play with the set up of the chart and you should be able to figure it out kuz it not that complicated.
Answered by DeeplyinLove - Thu Sep 25 18:06:26 2008

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