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Python Pandas Matplotlib and Seaborne

Descriptive statistics using pandas: These are the three steps we should perform to do statistical analysis on pandas dataframe. Collect the data: To do any statistical analysis, first collection of data is the important task We can store the collected… Continue Reading →

IPL Analysis Dashboard:

KPI’s as DAX measures for winning measures: CALCULATE used to calculate the number of matches.COUNTROWS counts the number of rows essentially counting the total number of matches in the dataset.a condition or filter is applied to checks if the “toss_winner”… Continue Reading →

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