Data Visualization Flashcards
are individual facts, statistics or items of information, often numeric.
Data
Data that can be measured with numbers, such as duration and speed
Quantitative
Whole numbers that can’t be broken down, such as number of items
Discrete
Numbers that can be broken down, such as height or weight
Continuous
Numbers with known differences between variable, such as time
Interval
Numbers that have measurable intervals where differences can be determined,such as height or weight
Ratio
Non-numerical data that is categorical, such as yes-no response or eye color
Qualitative
Data used for naming variables, such as hair color
Nominal
Data used to describe the order of values, such as 1= happy, 2 =neutral, 3= unhappy
Ordinal
is the graphical resrespentation of information and data
Data Visualization
Distribution charts lay out how items are distributed to different parts. The best chart to use for this type of data are line charts, histogram chart and scatter charts which illustrating items correlation among others.
Presenting Distribution.
Among all the data, it is of vital importance to find the relationships toward data. Spider charts and bubble charts are the perfect choices of analyzing the relationship as they contain relationship of one data variable to the whole group or other variables.
Showing the relationship.
When you need a chart for indicating the trend of a series data in a fixed period, there are two basic charts proper for you – Column Chart and Line Chart. Both two charts show the changing trend with differences of data. You can also combine them into one chart named Pareto chart which is better for knowing relevant trends.
Indicating the trend.
Most charts are created aiming to data comparison. Comparing function helps you visualize mass data as data always appear with a large quantity. Divided into two parts, different items could be compared by bar chart, column chart, six sigma chart and spider chart while one fixed item can be compared through different time like line chart and column chart
Comparing