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<speak> Welcome to the lesson on exploring the data set.<break strength="x-strong"/> Let's proceed further.<break strength="x-strong"/> Now, we will check all column names.<break strength="x-strong"/> To check the column names of the data frame<break strength="strong"/> diabetes_df, we use the columns method.<break strength="x-strong"/> Now, the Data frame diabetes_ df dot column.<break strength="x-strong"/> Let's run the cell. <break strength="x-strong"/> Here we go, we can see the list of all the column names of the data frame. <break strength="x-strong"/>There are a total of nine columns in the data set.<break strength="x-strong"/> Next, we will check more information about<break strength="strong"/> the data frame using the info method.<break strength="x-strong"/> We use the info method<break strength="strong"/> to check index dtype, columns, non-null values, and memory usage.<break strength="x-strong"/> We will use the dot info method.<break strength="x-strong"/> There are a total of 768 entries<break strength="strong"/> from 0 to 767.<break strength="x-strong"/> Here we can see that we have integer<break strength="strong"/> and float.<break strength="x-strong"/> So all the columns are in either integer <break strength="strong"/>or float format. <break strength="x-strong"/> The memory size of data is 54 kilobytes. <break strength="x-strong"/> <break strength="x-strong"/> </speak>