ModuleNotFoundError Traceback (most recent call last)Cell In[12], line 1----> 1 import plotly.express as px 3 data = {'Category': ['Category A', 'Category B', 'Category C', 'Category D'], 4 'Revenue': [35000, 50000, 20000, 45000]} 6 df = pd.DataFrame(data)ModuleNotFoundError: No module named 'plotly'

KeyError Traceback (most recent call last)Cell In[94], line 2 1 # Sales by customer type----> 2 sales_by_customer_type = july.groupby('Customer Type')['Amount'].sum().sort_values(ascending=False) 4 # Plotting 5 plt.figure(figsize=(12, 8))File ~\anaconda3\lib\site-packages\pandas\core\frame.py:9183, in DataFrame.groupby(self, by, axis, level, as_index, sort, group_keys, observed, dropna) 9180 if level is None and by is None: 9181 raise TypeError("You have to supply one of 'by' and 'level'")-> 9183 return DataFrameGroupBy( 9184 obj=self, 9185 keys=by, 9186 axis=axis, 9187 level=level, 9188 as_index=as_index, 9189 sort=sort, 9190 group_keys=group_keys, 9191 observed=observed, 9192 dropna=dropna, 9193 )File ~\anaconda3\lib\site-packages\pandas\core\groupby\groupby.py:1329, in GroupBy.__init__(self, obj, keys, axis, level, grouper, exclusions, selection, as_index, sort, group_keys, observed, dropna) 1326 self.dropna = dropna 1328 if grouper is None:-> 1329 grouper, exclusions, obj = get_grouper( 1330 obj, 1331 keys, 1332 axis=axis, 1333 level=level, 1334 sort=sort, 1335 observed=False if observed is lib.no_default else observed, 1336 dropna=self.dropna, 1337 ) 1339 if observed is lib.no_default: 1340 if any(ping._passed_categorical for ping in grouper.groupings):File ~\anaconda3\lib\site-packages\pandas\core\groupby\grouper.py:1043, in get_grouper(obj, key, axis, level, sort, observed, validate, dropna) 1041 in_axis, level, gpr = False, gpr, None 1042 else:-> 1043 raise KeyError(gpr) 1044 elif isinstance(gpr, Grouper) and gpr.key is not None: 1045 # Add key to exclusions 1046 exclusions.add(gpr.key)KeyError: 'Customer Type'

1.Which of the following is not a function present in the plotly.express module?  A. pie()  B. area()  C. scatter()  D. bubble()

45.Which of the following libraries enables you to interact with the plot created?  A. Seaborn  B. Pandas  C. Matplotlib  D. Plotly

import numpy as npimport pandas as pdimport apmodule as apimport matplotlib.pyplot as pltfrom sklearn import treefrom sklearn import metricsplt.style.use('fivethirtyeight')plt.rcParams['font.size']=10plt.rcParams['lines.linewidth']=3%matplotlib inlineLoad the Data[16]:market_cap = pd.read_csv('Market_cap.zip', parse_dates=['date']).set_index(['id','date']).squeeze()​# We load the prices and calculate the future returnprices=pd.read_csv('Prices.zip',parse_dates=['date']).set_index(['id','date']).squeeze()future_returns=np.log(prices.groupby('id').shift(-1)/ prices).rename('fut_ret')​# We load the information signalsfactors=pd.read_csv('A2_Data.zip',parse_dates=['date']).set_index(['id','date'])​# We comnine all the data in a single DataFramedb=factors.join(factors_returns).dropma()db.head()​​ ---------------------------------------------------------------------------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

What is the output of the following Python code:Codeimport numpy as npimport pandas as pddata={'name':['Alice','Bob','Ben'], 'order':[1,3,2], 'sector':['Sales','Finance','Marketing'] }df=pd.DataFrame(data)print(df)