These filters apply powerful filters which change the structure of the unfiltered map. Each filter can be applied more than once and they can (to some extent) be moved up and down.
For example suppose you want to show only links from statements in which the word “women” appears in the
text of the statement. So to apply a
find statements filter, you click the button with that name. A dialog will appear, once you have filled in the panel, and you click
A new button with an explanation appears in the active bar. The corresponding button below it gets a green tick to show it is in use, but you can click it again to apply another, different statements filter, for example to find links from all statements in which “women” appears and which were mentioned by men:
In this case, you are searching not the
text of the statement but the
sex of the source who made this statement.
To find factors which
contain the word
Food in their
find factors and type to select factors which you want to find.
- Select one or more pre-existing factors. Press
- And/or just type fragments of text like
Foodwhich might match several factors; type a tab to complete
- All factors matched by the search are, by default, highlighted.
- Only the factors matched by the search and those upstream and downstream (left and right) of them are shown, as many steps as set by the
For a more visual representation: The following examples demonstrate how applying different upstream and downstream step filters affect the causal pathways presented in the map.
Searching for text ‘Flooding’
One step upstream – zero steps downstream:
This analysis function is particularly useful for searching for important factors such as intervention activities or intended programme outcomes and can be used in conjunction with flags.
This also works when you include 0 steps upstream and 0 steps downstream:
Maybe you want to just highlight the factors or links you find, but not remove the others. You can do this with the advanced editor, adding
find factors value=risk operator=contains highlight_only=TRUE
color factors field=found lo=white hi=#7FC97F
You can use any of the normal conditional formatting options, e.g.
color factors field=found lo=blue hi=red - the hi colour will be used for factors which match the search, and the lo colour for those which do not.
This is a useful way to highlight factors which have the opposites symbol
find factors value=~ highlight_only=TRUE
color borders field=found
At the moment you can’t use this to colour factor background by one criterion and colour factor borders by another (because they both use the hidden field called
This filter hides any tags or other words written between different kinds of brackets. So instead of this:
you see this:
This analysis function is a powerful tool which enables you to view full causal pathways and to interrogate the relationships between specific causal factors. See the next section for more information on how to use the tracing robustness.
Bundling factors allows us to combine multiple factors into one box. This can be useful if we want to see the influences or consequences of factors with similar attributes. To use this function you just type in the search box what you want the factor label to contain and the app will bundle all the labels containing that text into one. Remember to use the exact spelling and case that is in the factor labels you want to combine. The below screenshot shows all factors including the words ‘improved health’ bundled into one factor label.
Combining opposites formats factors so that opposites are displayed in one factor label. Negatives are identified by ‘~’ and must have exactly the same phrasing as their counterpart. In Print view the links are automatically colour coded - red for the negative relationship and green for the positive, so you can clearly see the causal relations.
When you use an
equals filter you are usually filtering for a particular group, for example all men or all statements from a particular district. In this case, “next” and “previous” buttons appear after the full-text description of the filter, as in the figure below. You can use these buttons to click from men to women, or to click through the districts. As in the example, you can use more than one such filter simultaneously.
These “next” and “previous” buttons appear when using equals filters with links, factors or statements (except when filtering statements by statement_id, as in this special case the next and previous buttons are already visible in the statement navigation panel below).