Question: ALL PARTS BELOW IN PYTHON! Poisson Distribution: https://dlsun.github.io/probability/poisson.html Exponential Distributions: https://dlsun.github.io/probability/exponential.html Using the Kaggle API (https://www.kaggle.com/docs/api), download this dataset: https://www.kaggle.com/datasets/new-york-city/nyc-east-river-bicycle-crossings and a) plot the histogram

ALL PARTS BELOW IN PYTHON!

Poisson Distribution:

https://dlsun.github.io/probability/poisson.html

Exponential Distributions:

https://dlsun.github.io/probability/exponential.html

Using the Kaggle API (https://www.kaggle.com/docs/api), download this dataset: https://www.kaggle.com/datasets/new-york-city/nyc-east-river-bicycle-crossings

and a) plot the histogram of the number of cyclists that cross the Brooklyn bridge per day.

b) simulate the number of cyclists that cross the Brooklyn bridge per day using the Poisson distribution. Ensure that the simulated counts are similar distribution-wise to the observed counts.

Please provide pictures of all the plots, all output, and all histograms!!

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