can you give me the code for each question also please.

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Problem Statement

Climate Change in Mauritius

Using the "Climate$\_$Change$\_$Mauritius.csv$"$ dataset provided on the relevant

Google Classroom, design a python code which is able to achieve the following

tasks:

i$)$ data exploration $($e$.$g$.$ measures of central tendency$)$

ii$)$ identification and mitigation of anomalies $($e$.$g$.$ extreme values$)$

iii$)$ determining feature importance $($e$.$g$.$ using correlation functions$)$

iv$)$ feature engineering $($e$.$g$.$ addition or removal of columns$)$

v$)$ generate relevant visualization of the data $($e$.$g$.$ using matplotlib or seaborn$)$

You are free to select which type of analysis you carry out on the dataset and which

portion of the data you display as a graph or chart. You should consider how to

demonstrate as wide a range of abilities, for example, abilities in matplotlib or

seaborn can be demonstrated by providing a set of data in a well$-$documented line

graph, and further extended by demonstrating how to present other data in a bar

chart. Additionally, please provide any inferences on climate change in Mauritius

which you may have uncovered while working with this dataset.