SigmaPlot New Features
New Graph Type (Via a Macro)
Violin Plot
Visualize Data Distributions with Clarity and Precision
SigmaPlot 16 brings you a powerful new macro for data visualization – Violin Plots. This innovative macro offers a more comprehensive and informative way to depict the distribution of numerical data for one or more groups.
What are Violin Plots
Violin Plot is used to visualize the distribution of numerical data of different variables. It depicts distributions of numeric data for one or more groups using density curves. The width of each curve corresponds with the approximate frequency of data points in each region.
Use the New Violin Plot Macro when you want to observe the distribution of numeric data. These are especially useful when you want to make a comparison of distributions between multiple groups. The peaks, valleys, and tails of each group’s density curve can be compared to visualize similarities and differences within groups.
Application areas for the new Violin Plots in SigmaPlot v16:
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Biology and Medicine
Gene expression analysis
Compare gene expression levels between different groups or conditions.
Proteomics
Analyze protein abundance and distribution.
Clinical research
Study the distribution of patient outcomes or biomarkers.
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Environmental Science
Species diversity
Compare species richness and abundance across different habitats.
Climate change analysis
Examine changes in environmental variables over time.
Pollution monitoring
Analyze pollutant concentrations and distributions.
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Social Sciences
Survey data analysis
Explore the distribution of responses to survey questions.
Economic research
Analyze income distribution, consumer behavior, or market trends.
Social psychology
Study attitudes, beliefs, and behaviors within different populations.
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Engineering and Technology
Manufacturing process analysis
Evaluate the distribution of product quality metrics.
Materials science
Analyze the properties of materials and their variations.
Performance testing
Compare the performance of different systems or components.
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Other Applications
Finance
Analyze stock price distributions, risk assessment, or portfolio performance.
Psychology
Study psychological traits, cognitive abilities, or personality differences.
Education
Analyze student performance, learning outcomes, or teaching effectiveness.
This combined approach offers a richer understanding of your data compared to box plots alone.
Key Benefits of Violin Plots in SigmaPlot 16:
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Enhanced Data Understanding: Gain deeper insights into your data’s distribution and identify patterns or outliers.
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Improved Visualization: Create visually appealing and informative plots that effectively communicate your findings.
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Easy Customization: Customize the appearance of your violin plots to match your specific needs and preferences.
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Integration with Other Plot Types: Combine violin plots with other plot types, such as scatter plots or bar charts, for more comprehensive analysis.
Butterfly Plots:
Unlock the Potential of Your Data with Butterfly Plots. With SigmaPlot 16's Butterfly Plots, you can take your data analysis to the next level. Download a free trial today and experience the power of this innovative visualization tool.
New Graph Type (Via a Macro)
Unleash the Power of Data Visualization with Butterfly Plots
SigmaPlot 16 brings you a powerful new macro for data visualization - Butterfly Plots. This innovative macro offers a compelling way to visually compare two datasets side-by-side, revealing insights that might otherwise be hidden.
What are Butterfly Plots?
Butterfly plot is a type of bar chart that utilizes a unique visual style to highlight differences between two datasets. By comparing the lengths of the bars and their associated error bars, you can easily identify significant variations.
This Macro draws butterfly plots using the two different groups, events or categories of the data worksheet.
Application areas for the new Butterfly Plots in SigmaPlot v16:
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Healthcare and Medicine
Clinical trial data
Compare treatment outcomes between different groups.
Patient demographics
Analyze differences in patient characteristics between treatment groups.
Disease progression
Track changes in disease markers over time.
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Environmental Science
Climate change analysis
Compare temperature and precipitation data over time.
Pollution monitoring
Analyze pollutant levels in different locations.
Biodiversity studies
Compare species diversity in different ecosystems.
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Social Sciences
Social surveys
Compare responses to survey questions between different groups.
Election analysis
Visualize voting patterns and trends.
Public opinion polling
Analyze public opinion on various issues.
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Business and Marketing
Sales performance
Compare sales figures for different products or regions.
Market share analysis
Visualize market share trends over time.
Customer satisfaction
Compare customer satisfaction ratings for different products or services.
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Financial Analysis
Comparing stock performance
Visualize the performance of two stocks over a specific period.
Analyzing financial ratios
Compare financial ratios for different companies or time periods.
Tracking economic indicators
Monitor changes in economic indicators like GDP, inflation, and unemployment rates.
By effectively visualizing data, butterfly plots can help you identify trends, make informed decisions, and communicate insights clearly.