Exploratory Data Analysis: Frequencies, Descriptive Statistics, Histograms, and Boxplots
Jacob Shreffler, Martin Huecker
2020StatPearls16 citations
Abstract
To clearly present findings to a target audience, researchers must utilize exploratory data techniques and create appropriate graphs and figures. By understanding data, researchers can determine if outliers exist, data are missing, and statistical assumptions will be upheld. Additionally, it is essential to comprehend these data when describing them in conclusions of a paper, in a meeting with colleagues invested in the findings, or while reading others’ work.
Topics & Concepts
Exploratory data analysisOutlierDescriptive statisticsComputer scienceMissing dataExploratory analysisReading (process)Data scienceHistogramStatisticsPsychologyArtificial intelligenceData miningMathematicsLinguisticsMachine learningImage (mathematics)PhilosophyAnomaly Detection Techniques and ApplicationsData Visualization and AnalyticsTime Series Analysis and Forecasting