SAS 10 DATA PRESENTATIONS AND GRAPHS

axis (axes)

• the horizontal (x axis), and vertical (y axis) lines of a graph that define the space for plotting data points

legend

• a key or guide that explains the symbols, colors, or patterns used in a graph or chart

title

a descriptive heading that explains what the graph or chart is about

label

• text used to identify axes, categories, or data values on graph

data point

• a single value or coordinate on a graph that represents a piece of data

trend

• the general direction or pattern of data over time, often shown with a line or curve

scale

• the set of numbers that present the units used on the axes of a graph, determining how data is spaced

data visualization

• the use of charts, graphs, and other visuals to represent data clearly and effectively

Graphs

• is like a visual map made of dots and lines

• dots represent things

• lines show connections between them

bar graph

• is a type of graph that uses rectangular bars to represent data

• they help us see and compare information easily

line graph

• is good for showing how things change over time

• helping us spot patterns and trends quickly

histogram

• it is a special type of bar graph that shows often different numbers or ranges of numbers appear in a dataset

• visually shows how often different values occur in a dataset, making it easier to see patterns, compare groups, and understand the data

pie graph

• it is a circular chart divided into slices to show how different parts make up a whole

• help us quickly understand the proportions of different categories within a whole

scatter plot

• uses dots to show how two different things are related

• help us see if there’s a pattern or connection between the two things

data integrity

• means making sure that the information we use is correct and true

• helps us trust the information we use

transparency

• it is being open and clear about how we collect and use information

• helps build trust and confidence in the information we are using

fair representation

• means showing information accurately without bias

• helps us understand things better and make fair decisions based on what we know

use the right picture

• means choosing the best type of graph or chart to show information clearly and honestly

• helps people see the true story the data is telling without being misled or confused

respect for privacy and consent

• means being careful to protect people’s personal information and asking for permission before using it

• because everyone has the right to keep certain things about themselves private, like their name, address, or health information

accountability and responsibility

• means being honest and careful with the information we use

• because when we collect or share data, we need to make sure we’re doing it in a fair and trustworthy way

consider the societal impact

• means thinking about how our actions with data might affect other people and the world around us

• important because the things we do with data can have a big impact on society