If you need to apply a filter on the generated table, then you will have to use some different settings. filter_data tells which data you want to use. filter_col is used to tell which column or columns you should filter the data from.
Original
| Sweden | |
|---|---|
| 2010 | number |
| 2011 | 1.6% |
| 2012 | 2.2% |
| 2013 | 3.2% |
| 2014 | 4.5% |
| 2015 | 6.9% |
| Norway | |
| 2010 | number |
| 2011 | -6.6% |
| 2012 | 1.2% |
| 2013 | 1.4% |
| 2014 | 1.9% |
| 2015 | 2.0% |
| Finland | |
| 2010 | number |
| 2011 | -16.6% |
| 2012 | -14.2% |
| 2013 | 10.2% |
| 2014 | 11.0% |
| 2015 | 13.2% |
| Iceland | |
| 2010 | number |
| 2011 | 6.6% |
| 2012 | 6.2% |
| 2013 | 7.2% |
| 2014 | 11.0% |
| 2015 | 16.2% |
| Denmark | |
| 2010 | number |
| 2011 | -2.6% |
| 2012 | 0% |
| 2013 | 2.6% |
| 2014 | 2.9% |
| 2015 | 2.11% |
Filter data
This example below shows filtered data (Sweden) from column 1
Shortcode
[csvtohtml_create source_type="visualizer_plugin" path="csvfiles" source_files="sweden;norway;finland;iceland;denmark" filter_data="Sweden" filter_col="1"]
| 2011 | 2012 | 2013 | 2014 | 2015 | |
|---|---|---|---|---|---|
| Sweden | 1.6% | 2.2% | 3.2% | 4.5% | 6.9% |
Probably you might need some kind of operator to tell more specific data you want filtered. If you for example want to show data that has more or equal (filter_operator=”mequal”) to 3.2% in a specific column (you can only choose one column and in this case it’s the ”2013 – column” and that’s why filter_col=”4″ is used) you could do this (filter_removechars excludes the % char in this case when using filtering (e.g. filtering on value 7.2 instead of value ”7.2%”):
Shortcode
[csvtohtml_create source_type="visualizer_plugin" path="csvfiles" source_files="sweden.csv;norway;finland;iceland;denmark" filter_data="3.2" filter_col="4" filter_operator="mequal" filter_removechars="%"]
| 2011 | 2012 | 2013 | 2014 | 2015 | |
|---|---|---|---|---|---|
| Sweden | 1.6% | 2.2% | 3.2% | 4.5% | 6.9% |
| Finland | -16.6% | -14.2% | 10.2% | 11.0% | 13.2% |
| Iceland | 6.6% | 6.2% | 7.2% | 11.0% | 16.2% |
This example below shows filtered data (11) from the columns 5-6 (filter_col=”5-6″). It also uses the filter_operator wildcard so it filters 11 independently where in the value it exists (11.0% and 2.11% in this example).
Shortcode
[csvtohtml_create source_type="visualizer_plugin" path="csvfiles" source_files="sweden;norway;finland;iceland;denmark" filter_data="11" filter_col="5-6" filter_operator="wildcard"]
| 2011 | 2012 | 2013 | 2014 | 2015 | |
|---|---|---|---|---|---|
| Finland | -16.6% | -14.2% | 10.2% | 11.0% | 13.2% |
| Iceland | 6.6% | 6.2% | 7.2% | 11.0% | 16.2% |
| Denmark | -2.6% | 0% | 2.6% | 2.9% | 2.11% |
In some cases you would like to filter data based on logged in id or name, then you will have to use some special variables:%userid% and %userlogin% in filter_data.