wtite the code in jupyter python format

we have only those information the data for that data we have questions thats it

we have solve by using that excel sheet data

1. Describe our sample "Q1: How many rows and columns does the data have? In [ ]: \#e1 code goes here. '*'Q2: What are the types of the columns? Does anything look suspicious? In "'Q3: Check for missing data: Count the number of null values in each column. In []: \#Q3 code goes here "'Q4: Drop all null values and duplicate lines from the dataframe jupyter WSUID345_HW2 Iris_EDA Last Checkpoint 12 minutes ago (autosaved) File Edit View Insert Cell Kernel Widgets Help Q4: Drop all null values and duplicate lines from the dataframe In [ ]: Ae4 code goes here Q5: Change the data type of the PetalWidthCm column to numeric. In [ ]: \#Q5 code goes here Q6: How many rows and columns does our new dataframe have? In [ ]: \#QG code goes here. In [ ]: \#Q7 code goes here. 2. Data Visualization Q8: Import the Seaborn and matplotib libraries and draw pairplots for all the data columns (colored by species) In [ ]: \#Qs code goes here Q9: Do there appear to be any outliers in the data? Q9 Answer here Q10: Draw stripplots for each species for sepal length and sepal width Draw violinplots for each species for petal length and petal width. In [.]: #Q16 code goes here Q11: Eliminate the obvious outlier by replacing it with the average for that species in that column. In [ ] feqt code goes here I If mate inile goes Eare 4. 1t ejila rode piti here that2 Dow purphts tar al date tolumne egan iate cevelef by apecees I. 1. ingz2 coule goes nere. 3. Visuafization (identafy the shape of your data) Assignment 2 involves performing data cleaning and EDA on an iris dataset with (even more) minor errors introduced Download the attached WSUID345_HW2_Iris__DA ipynb notebook and iris_errors2.csv data file