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Another alternative is to copy the entire table from the displayed page, paste the text into a spreadsheet, move the columns as you will. Then reconstruct the table lines with a formula. This formula handles a three column table, reconstructing a single line.
The easiest way to insert a new table is to use the editing toolbar that appears when you edit a page (see image above). Clicking the button will open a dialog where you define what you want in your new table. Once you've chosen the number of rows and columns, the wiki markup text for the table is inserted into the article.
The process of converting a narrow table to wide table is generally referred to as "pivoting" in the context of data transformations. The "pandas" python package provides a "pivot" method which provides for a narrow to wide transformation.
The table above (even if some more columns are added) maintains one line per country for narrower browser and screen widths. So it is therefore more readable and scannable in long country tables. The table format below can greatly increase in number of lines, and require more vertical scrolling, especially if more columns are added.
See the Width section of Help:Table.To summarize, max-width is the preferred way to limit widths on tables. It works on divs too. Note though that in both tables and divs there needs to be spaces in long lines of text or wikitext.
This is text in column-2. {{col-end}} The table will have two columns, with column 1 twice (2×) the width of column 2. A border of 2px (1px width on each side) corresponds to a 5%. Therefore, with a 2px border, the width needs to be 95% for the table to fit within the screen. Since it's possible that some tables might not have a border ...
Each entry in the table contains the frequency or count of the occurrences of values within a particular group or interval, and in this way, the table summarizes the distribution of values in the sample. This is an example of a univariate (=single variable) frequency table. The frequency of each response to a survey question is depicted.
For data requests that fall between the table's samples, an interpolation algorithm can generate reasonable approximations by averaging nearby samples." [8] In data analysis applications, such as image processing, a lookup table (LUT) can be used to transform the input data into a more desirable output format. For example, a grayscale picture ...