What is the significance of descriptive statistics in data science?
- To create databases
- To describe, show, or summarize data in a meaningful way
- To make inferences about data
- To organize data in a logical way
Descriptive statistics play a significant role in data science as they allow us to summarize and understand data at a glance. They offer simple summaries about the data sample, such as central tendency (mean, median, mode), dispersion (range, variance, standard deviation), and distribution. They help in providing insights into the data, recognizing patterns and trends, and in making initial assumptions about the data. Graphical representation methods like histograms, box plots, bar charts, etc., associated with descriptive statistics, help in visualizing data effectively.
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