Chart Portlets
Chart portlets are essential for visualizing numerical data and trends over time. They transform raw data into intuitive visuals, enabling users to quickly grasp patterns and relationships. Use the following guidelines to choose the right chart type for your data visualization needs.
Line Chart
Ideal for visualizing trends over time by connecting individual data points with a continuous line.
Best Use Cases
Tracking changes in metrics such as price trends or transaction volumes.
Visualizing performance indicators where continuity matters.
Best Practices
Use a time-based x-axis for chronological data.
Enable data labels if precise values are important.
Keep the chart uncluttered by limiting the number of data series displayed simultaneously.
Additional Tips
Compare multiple onchain metrics to uncover correlations. This can help you identify relationships between different datasets, enhancing your analysis.
Use the chart to highlight significant events or anomalies in the blockchain. Notable deviations or spikes in the data can provide valuable insights into market events.
Bar Chart
Best for comparing quantities across distinct categories using rectangular bars whose lengths are proportional to the values they represent.
Best Use Cases
Comparing metrics across different segments or asset classes.
Analyzing performance metrics across multiple assets.
Analyzing levels of on‑chain activity across distinct segments.
Best Practices
Decide between vertical or horizontal orientation based on your data layout.
Use distinct colors to differentiate between categories for better visual separation.
Additional Tips
Consider adding data labels for enhanced clarity.
Leverage the chart to identify peak activity periods or emerging trends in onchain behavior. This insight is valuable for understanding periods of high or low activity across the blockchain.
Pie Chart
Perfect for showing parts of a whole, with each slice representing a proportion of the total.
Best Use Cases
Displaying percentage breakdowns, such as market share or category distribution.
Showing the market share distribution among different tokens.
Analyzing the breakdown of transaction types onchain.
Best Practices
Keep the number of slices manageable to maintain readability. Too many slices can overwhelm the viewer and reduce clarity.
Additional Tips
Use the chart to emphasize dominant segments within the on‑chain ecosystem. Highlighting major portions can direct attention to key trends in data.
Ensure good color contrast for each slice for better differentiation.
Configure data slices based on the dimensions of your dataset (e.g., average price, monthly values). This allows you to break down the data in a meaningful way, reflecting specific aspects of your on‑chain metrics.
Area Chart
Similar to a Line Chart but with the area beneath the line filled to emphasize volume or magnitude.
Best Use Cases
Illustrating cumulative onchain metrics over time.
Comparing multiple series where the magnitude of change is important.
Best Practices
Ensure the filled area does not obscure key data points.
Additional Tips
Combine with a line chart to show both trends and overall magnitude.
When data is loaded, the “Direction” setting typically changes to “X-Axis.”
Scatter Chart
Useful for plotting individual data points on an x-y axis to reveal relationships and correlations.
Best Use Cases
Identifying correlations between two variables, such as price versus volume.
Highlighting outliers that might indicate anomalies. Outliers can signal potential issues or opportunities within the blockchain data.
Best Practices
Incorporate statistical aggregation (e.g., calculating averages or medians) in your queries to reduce noise in highly volatile onchain data. This provides a clearer view of underlying trends by minimizing the impact of extreme values.
Segment your data by relevant time intervals or categories to capture evolving relationships between metrics. This enables a more granular analysis of how correlations shift over time or under different market conditions.
Additional Tips
Use the scatter chart to explore potential causal relationships in onchain behavior. This can help in forming hypotheses about how different metrics affect each other.
Regularly cross-verify your scatter chart findings with other analytical dashboards to validate insights and refine your data models. This cross-validation ensures the robustness of your analysis across multiple data perspectives.
Race Chart
Designed to animate changes in ranking or values among multiple items over time, offering a dynamic visual display.
Best Use Cases
Showcasing shifts in market rankings or performance metrics over a period.
Highlighting trends in token popularity or on‑chain activity through dynamic animation.
Best Practices
Keep the number of items limited to ensure the animation remains legible and engaging. A smaller number of items prevents the animation from becoming chaotic or hard to follow.
Additional Tips
A Start button appears below the chart to initiate the animation.
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