# 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.

### Visual inspection

**Eyeball searchVisualvisual testing**

### 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**

### Spaghetti plot

**spaghetti diagramsSpaghetti plots**

### Box plot

**boxplotbox and whisker plotadjusted boxplots**

### Biplot

**bi-plot**

### 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.

### Choropleth map

**choroplethchoropleth mappingstatistical maps**