It could be a line graph, bar graph, or a pictograph.
The number of boys compared to the number of girls or the number of cats compared to the number of dogs
The title of a graph should be an indication of the information that the graph is meant to convey. It may not be a direct description of the data but it should certainly be relevant to the data being used. For example, a graph showing number of residents against years might have a title of "Growth in the town". The title refers not to the data but to the information the graph is showing.
The title of a graph should be an indication of the information that the graph is meant to convey. It may not be a direct description of the data but it should certainly be relevant to the data being used. For example, a graph showing number of residents against years might have a title of "Growth in the town". The title refers not to the data but to the information the graph is showing.
Plotted data is graphed, using the Cartesian coordinate system of two axes, x and y.
Comparing data can be graphed out by pictograms which are pictorial pictures as the name suggest
It shows how one set of data relates to the others, and to itself, it is easier to see trends when the data is graphed.
Spreadsheets generally accept two fundamental types of data: constant data, such as a constant number, date, time or text, or formulas. Formulas produce data of the same data types (e.g. text, number, date, time, etc), but are evaluated dynamically.
Presentations do not have data-types, you might have misunderstood somethings.
All data types can be used to store a whole number, even the data types that can store a decimal number.
It can be graphed but it likely should NOT be graphed. Most qualitative research is based on very small sample sizes of unrepresentative people. It is not intended to reflect a larger population of people. Once you start graphing their information, it makes the data look far more quantitative and precise than it really is. Qualitative information should focus more on insights and hypotheses than charts and tables.
Number, string, binary string.
Access Data Types are : Autonumber, Memo Text, Number, Yes/No, date/time, OLE object, Hyperlink, Currency.