# CALC 1 Plotting Overview

To communicate information clearly and efficiently CALC 1 provides
expression plots, statistical plots (histograms, box plots and normal
probability plots), scatter plots and Function Calculator plots.

The plotting is part of each of the Focused Calculators so the data and
other functions with the calculator work together with the plotting to
help you understand the data.

The plots use Apple System
Colors that automatically adapt to both light and dark
modes, vibrancy and changes in accessibility settings like Increase
Contrast.

## Expression Plotting

Most of the expression plotting is performed using the Expressions
calculator. The plotting works together with the other expression keys
to help you understand the expression. For example, the shade plot
and integration keys are adjacent and both use the current expression
and parameters to give you a shaded plot of the integrated by simply
tapping the "shade p" key for a visual confirmation.

### The Expression plotting includes

- plots of the current expression.
- plots of multiple expressions.
- plots with single and multiple shaded areas.
- parameter plots.

## Statistical Plotting

The 1 List Statistics,
Normal
Distribution and Student's
t Distribution calculators provide plots for visualizing
distributions.

### Plotting keys common to each calculator

- Histograms.
- Box Plots, 1-5 box plots.

### Plotting keys specific to the distributions

- Normal Probability Plot
- Test plot for <μ0, >μ0, ≠μ0
- lower tail PDF.
- upper tail PDF.
- 2 tail PDF.
- Central area PDF.

## Scatter Plots

Each of the Curve
Fitting calculators has a plot key to display a scatter plot of
the current data with the curve fit of the calculator (LIN, Ln, EXP,
PWR, Expnt, Inv).

The 2 Lists Statistics calculator plot key will plot the x-y lists data
as a line plot.

## Function Calculator Plots

Each of the Function Calculators will plot the function for any of the
parameters.

## Adding Titles and Labels with Annotations

Sharing a plot to another application (Notes for example) that supports
annotation is a great way to add a title and other annotations to a
plot.