EXPLORATORY DATA ANALYSIS

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What is Exploratory Data Analysis (EDA)?

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Exploratory Data Analysis (EDA) is an approach to analyzing data sets to summarize their main characteristics, often using visual methods.

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What is the purpose of using EDA?

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The purpose of EDA is to understand the data, identify patterns, spot anomalies, test hypotheses, and check assumptions.

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Define 'independent variable' in an experiment.

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The independent variable is the variable that is changed or controlled in a scientific experiment to test its effects on the dependent variable.

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Define 'dependent variable' in an experiment.

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The dependent variable is the variable that is measured and affected in an experiment, responding to changes in the independent variable.

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What is a 'sample' in statistics?

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A sample is a subset of a population used to represent the entire group in statistical analysis.

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What is 'Systematic Random Sampling'?

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Systematic Random Sampling is a method where you select every nth individual from a list or sequence.

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What is a 'control group' in an experiment?

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A control group is a group in an experiment that does not receive the treatment and is used as a benchmark to measure how the other tested subjects do.

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What does a histogram represent?

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A histogram is a graphical representation of the distribution of numerical data, showing the frequency of data points within specified ranges.

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What is the difference between qualitative and quantitative data?

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Qualitative data describes characteristics or qualities (e.g., colors, names), while quantitative data represents numerical values (e.g., height, weight).

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What is a 'bar graph'?

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A bar graph is a chart that presents categorical data with rectangular bars, where the length of each bar is proportional to the value it represents.