data = book_sales[['Time' , 'Hardcover']] #dataX = data.loc[:,['Time']] #eje XY = data.loc[:,'Hardcover'] #eje Yfig, ax = plt.subplots()ax.plot(X , Y, color= '0.75')ax = sns.regplot(x = 'Time', y = 'Hardcover', data = data, ci = None, color = 'skyblue')ax.scatter(X , Y, color = '0.25' )

Hari is working for a retail company and has sales data in the form of a list of dictionaries, where each dictionary represents a sale with information about the productname, price, count and date. Help him to use dictionaries by writing a Python program using strings and user-defined functions to analyze sales data. The analysis should include the calculation of total sales revenue for a specific date and finding the best-selling product.Input format:First line represents the number of products, N.Subsequent lines represent productname, price, count and date.Last line represents the date for which the list of products sold on that particular date have to be fetched from the database. Output format:productname of all products which are sold on a particular date (as mentioned in the last line of input) should be displayed, one by one.Last line displays the details of the best-selling product (which is having the highest of price*count).

---------------------------------------------------------------------------NameError Traceback (most recent call last)Cell In[12], line 5 3 # We load the prices and calculate the future return 4 prices=pd.read_csv('Prices.zip',parse_dates=['date']).set_index(['id','date']).squeeze()----> 5 future_returns=cp.log(prices,groupby('id'),shift(-1)/ prices).rename('fut_ret') 7 # We load the information signals 8 factors=pd.read_csv('A2_Data.zip',parse_dates=['date']).set_index(['id','date'])NameError: name 'cp' is not defined

---------------------------------------------------------------------------AttributeError Traceback (most recent call last)Cell In[3], line 11 8 factors=pd.read_csv('A2_Data.zip',parse_dates=['date']).set_index(['id','date']) 10 # We comnine all the data in a single DataFrame---> 11 db=factors.join(future_returns).dropma() 12 db.head()File ~/anaconda3/lib/python3.11/site-packages/pandas/core/generic.py:5902, in NDFrame.__getattr__(self, name) 5895 if ( 5896 name not in self._internal_names_set 5897 and name not in self._metadata 5898 and name not in self._accessors 5899 and self._info_axis._can_hold_identifiers_and_holds_name(name) 5900 ): 5901 return self[name]-> 5902 return object.__getattribute__(self, name)AttributeError: 'DataFrame' object has no attribute 'dropma'

Choose the correct answer What will be the data type of the output after the following statements? x = ('Today',) print(x) Options TypeError str tuple list

---------------------------------------------------------------------------NameError Traceback (most recent call last)Cell In[16], line 11 8 factors=pd.read_csv('A2_Data.zip',parse_dates=['date']).set_index(['id','date']) 10 # We comnine all the data in a single DataFrame---> 11 db=factors.join(factors_returns).dropma() 12 db.head()NameError: name 'factors_returns' is not defined