Sorting on different segments answers superlative questions on volatility, magnitude, and direction of change. The intensity of the colour represents the intensity of the change. Large red segments means the stock often decreased, while large purple segments means the stock often increased. Interpretation: Each bar represents the distribution of daily change by stock. Scenario: How often is each stock increasing or decreasing, and by how much? Which stocks are most volatile? Which are least volatile? Which increase most often? Which decrease most often? Interactivity solves this problem, by sorting and aligning on a selected segment.ĭata Source: 2017 - 2018 Stock Ticker Data While the first segment and total value are comparable across bars, the inner segments are difficult to compare as they're not on a common baseline. Noteworthy: Market Basket Analysis can be solved in exactly the same way, with Order ID instead of Game ID, and Product instead of Team.Įxample 2: Sorting and aligning on a selectionĬoncept: Stacked bar charts are often used as a way to compare each part's contribution to the whole. Interpretation: When selecting a country, the number of goals scored by and against each team reverse, so that goals scored is reported relative to the selected team. Scenario: For a selected team, how many games did they play and to whom did they win, lose, or draw? How many goals did each team score and how many goals were scored against them? While filters always select the value the user picked, sets can select other fields based on their relationship to the user selection.ĭata Source: 2018 World Cup Match Results For example, a user is much more likely to ask, "Which teams were part of Brazil's group in the 2018 World Cup?" than, "Which teams were part of group E?" The group is only interesting because of the teams being examined. Humans make selections from the type of data that encodes meaning.
#Tableau filter actions server download
You can follow along using the data sources here and bulk download the workbooks here.Ĭoncept: Some data encodes meaning, while other data encodes relationships. Apply tips and tricks to design and colouring.Use Tableau to think through calculation authoring.
Represent concepts like relationships and overlap through interactivity.In the videos shared below, I'll be demonstrating end-to-end user flows with specific scenarios that you may encounter, such as filtering on relationships, sorting and aligning on a selection, OR filters, dynamic grouping, and computing table calculations. This opens up solutions to problems like market basket analysis. Since sets can be nested or used in calculations, authors can design more expressive interaction behaviours, such as OR filters and filtering on relationships. The set action feature means that end user selections in a visualisation can be stored in a set. In principle, sets can express anything that filters can express, but the reverse is not true. In fact, filters are a just special type of set. While filters only keep data that is in a selection, sets group data into two groups-in or out of a selection. Hide data instead of filtering so that you can use it in calculations.
Find all items that are related to a selection, instead of keeping only the items that exactly match.Interaction with a visualisation is often equated with filtering, but filtering is just one type of response to user selections. Reference Materials Toggle sub-navigation.Teams and Organizations Toggle sub-navigation.
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