xls 'http :/www biostatisticien euspringer nutrition_elderly xls nutri pd read_excel (xlsthis creates dataframe object nutri the first three rows are as followspd set_option ('display max_columns ' to fit display nutri head ( gender situation tea cooked_fruit_veg chocol fat [ rows columns you can check the type (or structureof the variables via the info method of nutri nutri info (rangeindex entries to data columns total columns )gender non -null int situation non -null int tea non -null int coffee non -null int height non -null int weight non -null int age non -null int meat non -null int fish non -null int raw_fruit non -null int cooked_fruit_veg non -null int chocol non -null int fat non -null int dtypes int ( memory usage kb all features in nutri are (at the momentinterpreted by python as quantitative variablesindeed as integerssimply because they have been entered as whole numbers the meaning of these numbers becomes clear when we consider the description of the featuresgiven in table table shows how the variable types should be classified table the feature types for the data frame nutri qualitative discrete quantitative continuous quantitative gendersituationfat meatfishraw_fruitcooked_fruit_vegchocol teacoffee heightweightage note that the categories of the qualitative features in the second row of table meatchocol have natural order such qualitative features are sometimes called ordinalin