If you want to load the "my-data.csv" file to Dataframe so that you can explore find out the number of data items in the data set, how should you import the required library?import numpy as dataframeimport seaborn as pdimport matplotlib.pyplot as pdimport pandas as pd

Assume that you want to read data to a Dataframe and you have written the following code. And also assume that the data file is in the local directory where you are executing the code. Select the correct line of code that will load the data.import pandas as pydatafile_name = 'my-data.csv'col_name = ['name','age','salary','location','class']dataset = pydata.read_csv(file_name, names = col_name)dataset = pd.read_csv(file_name, names = col_name)dataset = pydata.read_csv(url, names = col_name)pydata.read_csv(file_name, names = col_name)

What is the proper way to load a CSV file using pandas?1 pointpandas.from_csv(‘data.csv’)pandas.load_csv(‘data.csv’)pandas.read_csv(‘data.csv’)pandas.import_csv(‘data.csv’)

a) Download the Data from Blackboard. B) Launch JupyterNotebook. C) Create a new Notebook. D) Import pandas and numpy libraries. E) Import dataand name it df

This is an extract from the pandas DataFrame API. If we want to find the number of rows and columns in the dataset that we have loaded, what function should we call? Assume that we have read the data to "dataset"dataset.shapedataset.ndimdataset.ndimdataset.values

# prerequisite package imports#numpy,pandas, matplotlib and seaborn#YOUR CODEimport numpy as npimport pandas as pdimport seaborn as sbimport osimport matplotlib.pyplot as pltfrom google.colab import drivedrive.mount('/content/drive')