Interactive visualizations are often used to show insights from the data sets. It gives the user to select filters and view the data to see patterns or trends. But creating interactive visualization can get tricky. The following key points should be followed while creating a dashboard-
- Ease of understanding for Novice User: A new user who does not have a full understanding of the data set must be able to do analysis without wasting much time on the visualization. They should be able to understand the trends, correlations and anomalies using the tool and make faster decisions based on the visualization.
- Driving Processes: The visualization should highlight the KPI’s and important metrics which drive the business processes. They must be visually enhanced by using right kind of colors or patterns which makes it easier for the user to identify them. The representation should be simple but granular as well so that no vital information is left out, but it is also easier for the user to make sense out of it.
- Data must tell a story: The data should be analyzed in such a way that it unfolds a story. The user by applying appropriate filters should be able to see different perspectives leading to a decisive conclusion. The interactive dashboard should be such that is gives a high level overview and takes the user to granular details of the data.
- Data correlation: On viewing the visualization the user should immediately be able to identify the hot spots which need immediate actions. They should be able to find trends in the data set by viewing the relationship between different data streams and different data sets at times.
- What next?: Every data visualization should comment on what could happen could happen next? By using predictive analysis, some predictions should be made about the trends in the future. By using calculations and algorithms the data analyst can give some recommendations about the future of the data trend.
Source: https://www.forbes.com/sites/benkerschberg/2014/04/30/five-key-properties-of-interactive-data-visualization/#1f83815e589e