[amp_mcq option1=”.desc()” option2=”.describe()” option3=”.rank()” option4=”none of the mentioned” correct=”option2″]<\/p>\n
The correct answer is: B. .describe()<\/strong><\/p>\n The For categorical data, the The The Therefore, the [amp_mcq option1=”.desc()” option2=”.describe()” option3=”.rank()” option4=”none of the mentioned” correct=”option2″]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[737],"tags":[],"class_list":["post-45819","post","type-post","status-publish","format-standard","hentry","category-data-analysis-with-python","no-featured-image-padding"],"yoast_head":"\n.describe()<\/code> method returns a Series with the following columns:<\/p>\n\n
count<\/code>: The number of non-null values in the Series.<\/li>\nmean<\/code>: The arithmetic mean of the values in the Series.<\/li>\nstd<\/code>: The standard deviation of the values in the Series.<\/li>\nmin<\/code>: The minimum value in the Series.<\/li>\nmax<\/code>: The maximum value in the Series.<\/li>\n25%<\/code>: The 25th percentile of the values in the Series.<\/li>\n50%<\/code>: The 50th percentile of the values in the Series, also known as the median.<\/li>\n75%<\/code>: The 75th percentile of the values in the Series.<\/li>\nkurtosis<\/code>: The kurtosis of the values in the Series.<\/li>\nskewness<\/code>: The skewness of the values in the Series.<\/li>\n<\/ul>\n.describe()<\/code> method will return a Series with the following columns:<\/p>\n\n
count<\/code>: The number of unique values in the Series.<\/li>\nunique<\/code>: A list of the unique values in the Series.<\/li>\ntop<\/code>: The top 5 most common values in the Series.<\/li>\nfreq<\/code>: The frequency of each unique value in the Series.<\/li>\n<\/ul>\n.rank()<\/code> method returns a Series with the ranks of the values in the Series. The ranks are assigned in ascending order, with the lowest value being ranked 1 and the highest value being ranked n, where n is the number of values in the Series.<\/p>\n.desc()<\/code> method returns a Series with the values in the Series in descending order.<\/p>\n.describe()<\/code> method is the only method that will produce similar output to a Series or DataFrame of type string for categorical data.<\/p>\n","protected":false},"excerpt":{"rendered":"