Data Filtering, Analysis, Cleaning, and Salary Prediction with Pandas

roblox Please use Python and Pandas for data processing. Complete the following tasks: Data Querying and Retrieval: Use Pandas to filter important columns and rows from a given dataset. The dataset contains the columns: id, name, age, salary. Filter out people with age greater than 30 and salary greater than 50000. Exploratory Data Analysis: Calculate statistical information such as mean, median, and standard deviation for the dataset. Output the mean, median, and standard deviation of the salary in the dataset. Data Cleaning and Preprocessing: Handle missing values and convert data types. Handle missing age data and convert salary column to integer type. Machine Learning and Predictive Modeling: Use existing data to train a simple linear regression model to predict salary. Use age as the independent variable to predict salary and output the model's coefficient and intercept. Example Input {'id': [1, 2, 3, 4], 'name': ['Alice', 'Bob', 'Charlie', 'David'], 'age': [34, 29, None, 40], 'salary': [70000, 48000, 52000, None]}