Panopticon Visualizations
Panopticon supports a wide range of information visualizations that are designed for fast comprehension and easy interpretation of static, time series, real time streaming, and historic data sets.
As no visualization is ideal for every purpose, the appropriate visualization for the analytical task at hand must be used. Here are some general recommendations:
Analytical Task | Recommended Visualizations |
Read numeric values quickly |
Table / Pivot Table |
Performance against a KPI |
Bullet Graph, Tile, Ticker Tile, Donut Gauge |
Performance across a single variable for a small number of data elements, with different |
Bar Graph, Tile, Ticker Tile |
Performance across a single variable for a small number of data elements, each with |
Dot Plot |
Performance across a single variable for a large number of data items |
Heat Map |
Performance across a single variable for a large number of data items, which have |
Treemap, Circle Pack |
Performance across a hierarchical or grouped dataset |
Treemap, Circle Pack |
Correlation between two categories of data |
Heat Matrix, Network Graph |
Relationships between categories of data |
Network Graph |
Correlation between two or more numeric data columns |
Scatter Plot |
Geographic correlations of data |
Map Plot |
Correlation over both a single numeric data column and various categories of data |
Dot Plot |
Trending performance across ordered categories |
Dot Plot |
Trending performance between two numeric variables |
Numeric Line Graph |
Trending performance between three numeric variables |
Surface Plot (& 3D) |
Trending performance across time |
Line Graph |
Time based Ranking |
Line Graph with Ranking Axis |
Time Based Contributions |
Stack Graph |
Time Based Correlations between time series |
Horizon Graph |
Time Based Transactions |
Needle Graph |
Financial Time Series Distributions |
Candle Stick or OHLC Graph |
Auction Price & Interest/Volume Distribution |
Numeric Needle Graph |
Geospatial Area Densities |
Shapes |
Spread between two time series |
Spread Graph |
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