?? Descriptive Statistics: Key Metrics for Data Analysis ??
Mohd Abbas
Data Analyst | SQL & Python Expert | Power BI Enthusiast | Turning Data into Insights
Descriptive statistics help summarize and understand the main features of a dataset. Here are some key metrics every data analyst should know:
1?? Mean: The average value of the data.
2?? Median: The middle value, splitting the data into two equal parts.
3?? Mode: The most frequently occurring value in the dataset.
4?? Variance: Measures how far data points are spread from the mean.
5?? Standard Deviation: The square root of the variance, showing how much data deviates from the average.
6?? Range: The difference between the highest and lowest values.
These metrics are foundational for understanding data distributions and making informed decisions.
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