BUSINESS ADMINISTRATION
BUSINESS ANALYTICS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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It is a composite object of strings
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It is a matrix of results
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It is a two-dimensional data structure with labeled axes (rows and columns)
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It allows us to load txt, csv
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Detailed explanation-1: -Pandas DataFrame is two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). A Data frame is a two-dimensional data structure, i.e., data is aligned in a tabular fashion in rows and columns.
Detailed explanation-2: -DataFrame is a 2-dimensional labeled data structure with columns of potentially different types. You can think of it like a spreadsheet or SQL table, or a dict of Series objects.
Detailed explanation-3: -A DataFrame is a data structure that organizes data into a 2-dimensional table of rows and columns, much like a spreadsheet. DataFrames are one of the most common data structures used in modern data analytics because they are a flexible and intuitive way of storing and working with data.
Detailed explanation-4: -A DataFrame is a two-dimensional data structure composed of rows and columns-exactly like a simple spreadsheet or a SQL table. Each column of a DataFrame is a pandas Series. These columns should be of the same length, but they can be of different data types-float, int, bool, and so on.
Detailed explanation-5: -Now, DataFrames in Python are very similar: they come with the pandas library, and they are defined as two-dimensional labeled data structures with columns of potentially different types. In general, you could say that the pandas DataFrame consists of three main components: the data, the index, and the columns.