Advanced Data Analysis & Visualization
Successful quantitative analysis starts with a strong foundation—cleaning data, exploring patterns, and developing intuition about its structure to determine the right analytical approach. Daly Analytics brings deep expertise in advanced data analysis techniques, including normalization, hypothesis testing, statistical significance testing, outlier detection, and nonparametric plotting. We also create interactive, web-based visualizations that transform complex data into clear, actionable insights, helping you confidently navigate the next steps in your project.
Expertise
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Data Cleaning & Munging
Turning messy, inconsistent data into a structured, reliable format by handling missing values, standardizing formats, and merging sources—ensuring your data is ready for analysis.
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Exploratory Data Analysis
Uncover patterns, trends, and anomalies in your data through visualization and statistical summaries. EDA helps build intuition, detect outliers, and guide the next steps for meaningful analysis.
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Statistical Significance & Hypothesis Testing
Ensure your insights hold up to scrutiny with rigorous hypothesis testing and statistical significance analysis. When data doesn’t fit standard assumptions, we apply non-parametric methods like kernel density estimation (a smoothed alternative to histograms) to uncover meaningful trends.
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Data Visualizations
We bring your data to life with interactive tables, sparklines, boxplots, Voronoi tessellations, and choropleth maps. Daly Analytics crafts custom visualizations that highlight key insights and ensure your data tells a clear, compelling story.