A 10-yeаr-оld bоy presents tо the clinic for evаluаtion of a skin problem. He reports intense itching and skin crawling. His symptoms started a few days ago. He is now having trouble sleeping, as the pruritus seems to be worse when he lays down at night. On exam, you note lesions in the webs of his fingers and on the soles of his feet. Which of the following is the best treatment for the suspected condition?
The dаtаset tо refer fоr this https://www.kаggle.cоm/datasets/thedevastator/jobs-dataset-from-glassdoor?select=eda_data.csv The dataset is available at https://usf.box.com/s/3b9t48r7767ireidweh749la3na72tax The data description (copied from Kaggle web page): About this file This dataset contains job postings from Glassdoor.com from 2017-2018. This dataset includes features such as job title, salary estimate, job description, rating, company name, location, headquarters, size, founded, type of ownership, industry, sector, revenue, competitors compile a list of the most important features in this dataset. , hourly wage minima and maxima,, avg_salary,, num_comp,,sdesc_len If you are looking for a job in the data science field then this is the dataset for you to explore! job_id: The unique identifier for the job posting (Numeric) job_state: The state where the job is located (String) same_state: A binary indicator of whether the job is in the same state as the person looking at the job (String) age: The age of the person looking at the job (Numeric) python_yn: A binary indicator of whether the person looking at the job knows Python (String) R_yn: A binary indicator of whether the person looking at the job knows R (String) spark: A binary indicator of whether the person looking at the job knows Spark (String) aws: A binary indicator of whether the person looking at the job knows AWS (String) excel: A binary indicator of whether the person looking at the job knows Excel (String) job_simp: A simplified job title (String) seniority: The seniority of the job (String) desc_len: The length of the job description (Numeric) num_comp: The number of competitors for the job (Numeric) Answer following questions using pySpark in Spark Notebook.