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Charts are generated by the usual method of selecting a data range and clicking a toolbar icon. The approach is to start minimally, but double clicking the chart opens a tabbed dialogue, giving a high level of control over all elements of the chart, which are arranged in a hierarchical, nested structure.
Module:Chart creates bar and pie charts on Wikipedia without need for external tools; Many spreadsheet, drawing, and desktop publishing programs allow you to create graphs and export them as images. gnuplot can produce a wide variety of charts and graphs; see samples with source code at Commons. In Python using matplotlib
Other flag template names can be used too. If you want links without flags replace with: $1 [[$2]] Then click "Replace all". Nearly all countries, states, etc. will be linked. Create links without flags first. If there are red links create redirects. This will also take care of all the red links in the flag lists. Then create another table with ...
In basic operation, Numbers can be used just like Excel; data can be typed anywhere, and formulas can be created by referring to the data by its cell. However, if the user types a header into the table, something one normally does as a matter of course, Numbers uses this to automatically construct a named range for the cells on that row or column.
Regarding personal names: Ritter is a title, translated approximately as 'Sir' (denoting a knight), not a first or middle name. There is no equivalent female form. There is no equivalent female form. Article near bottom (use when Ritter (von) appears in the name of a person)
When grouped footnotes are used, the labels are [name 1], [name 2], etc., where name is the name given to the group. However, by using certain reserved group names, it is possible to make the labels appear in a different form, such as [i], [ii], etc. or [a], [b], etc. Currently existing reserved group names are:
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It is primarily used to look up specific values. In the example above, the table might have categorical column labels representing the name (a qualitative variable) and age (a quantitative variable), with each row of data representing one person (the sampled experimental unit or category subdivision).