🔢Mean is calculated by summing up all values in a dataset and dividing by the number of values.
📊Median is found by sorting the values in ascending or descending order and taking the middle value.
🔢Mode is the most common value in a dataset.
📈Python data structures such as lists, numpy ndarrays, pandas series, and data frames can be used to calculate mean, median, and mode.
📊Pandas data frames allow for computing mean, median, and mode for specific columns or rows.
What is the mean?
—The mean is the average of a dataset, obtained by summing up all values and dividing by the number of values.
How is the median calculated?
—The median is found by arranging the values in ascending or descending order and taking the middle value. If there are two middle values, the median is the average of those two values.
What is the mode?
—The mode is the most frequently occurring value in a dataset.
Can I calculate mean, median, and mode using Python?
—Yes, Python provides data structures and libraries such as numpy and pandas that allow for easy calculation of mean, median, and mode.
Can I calculate mean, median, and mode for specific columns or rows?
—Yes, pandas data frames allow for computing mean, median, and mode for specific columns or rows.
00:20Mean is calculated by summing up all values in a dataset and dividing by the number of values.
00:30Median is found by sorting the values in ascending or descending order and taking the middle value.
00:45Mode is the most common value in a dataset.
01:04Python data structures such as lists, numpy ndarrays, pandas series, and data frames can be used to calculate mean, median, and mode.
05:26Pandas data frames allow for computing mean, median, and mode for specific columns or rows.
06:08Calculating mean, median, and mode for lists in Python.
06:38Calculating mean, median, and mode for numpy ndarrays in Python.
09:18Calculating mean, median, and mode for pandas series and data frames in Python.
