Statistical graphics

graphical techniquegraphicalgraphical techniquesGraphsstatistical graphicgraphical methods of statisticsgraphical presentation of statistics
Statistical graphics, also known as graphical techniques, are graphics in the field of statistics used to visualize quantitative data.wikipedia
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Plot (graphics)

plotdata plotplots
They include plots such as scatter plots, histograms, probability plots, spaghetti plots, residual plots, box plots, block plots and biplots.
A plot is a graphical technique for representing a data set, usually as a graph showing the relationship between two or more variables.

Probability plot

They include plots such as scatter plots, histograms, probability plots, spaghetti plots, residual plots, box plots, block plots and biplots.
In statistics, a probability plot is a graphical technique for comparing two data sets, either two sets of empirical observations, one empirical set against a theoretical set, or (more rarely) two theoretical sets against each other.

William Playfair

PlayfairPlayfair, WilliamPlayfair cycle
The founder of graphical methods of statistics, Playfair invented several types of diagrams: in 1786 the line, area and bar chart of economic data, and in 1801 the pie chart and circle graph, used to show part-whole relations.

Exploratory data analysis

explorative data analysisexploratorydata analysis
Exploratory data analysis (EDA) relies heavily on such techniques.
Typical graphical techniques used in EDA are:

Pie chart

polar area diagrampiesunburst chart
A pie chart (or a circle chart) is a circular statistical graphic, which is divided into slices to illustrate numerical proportion.

Data visualization

visualizationData Presentation Architecturedata visualisation
To communicate information clearly and efficiently, data visualization uses statistical graphics, plots, information graphics and other tools.

Florence Nightingale

NightingaleFlorenceFrances Smith
Later, Nightingale became a pioneer in the visual presentation of information and statistical graphics.

Statistics

statisticalstatistical analysisstatistician
Statistical graphics, also known as graphical techniques, are graphics in the field of statistics used to visualize quantitative data. Whereas statistics and data analysis procedures generally yield their output in numeric or tabular form, graphical techniques allow such results to be displayed in some sort of pictorial form.

Data

statistical datascientific datadatum
Statistical graphics, also known as graphical techniques, are graphics in the field of statistics used to visualize quantitative data.

Data analysis

data analyticsanalysisdata analyst
Whereas statistics and data analysis procedures generally yield their output in numeric or tabular form, graphical techniques allow such results to be displayed in some sort of pictorial form.

Scatter plot

scatterplotscatter plotsscatter diagram
They include plots such as scatter plots, histograms, probability plots, spaghetti plots, residual plots, box plots, block plots and biplots.

Histogram

histogramsbin sizebin
They include plots such as scatter plots, histograms, probability plots, spaghetti plots, residual plots, box plots, block plots and biplots.

Spaghetti plot

spaghetti diagramsSpaghetti plots
They include plots such as scatter plots, histograms, probability plots, spaghetti plots, residual plots, box plots, block plots and biplots.

Box plot

boxplotbox and whisker plotadjusted boxplots
They include plots such as scatter plots, histograms, probability plots, spaghetti plots, residual plots, box plots, block plots and biplots.

Biplot

bi-plot
They include plots such as scatter plots, histograms, probability plots, spaghetti plots, residual plots, box plots, block plots and biplots.

Model selection

statistical model selectionselectingchoose a model
They can also provide insight into a data set to help with testing assumptions, model selection and regression model validation, estimator selection, relationship identification, factor effect determination, and outlier detection.

Regression validation

Regression model validationvalidation calculationsregression-residual diagnostics
They can also provide insight into a data set to help with testing assumptions, model selection and regression model validation, estimator selection, relationship identification, factor effect determination, and outlier detection.

Outlier

outliersstatistical outliersconservative estimate
They can also provide insight into a data set to help with testing assumptions, model selection and regression model validation, estimator selection, relationship identification, factor effect determination, and outlier detection.

Graph paper

Grid papercoordinate paperlog paper