ShaikBlog

 Collection of COmmonly used codes for Exploratory Analysis, Focusing on Univariate, bivariate  and general university analysis tasks.  These examples used Python with Popular Libraries like Pandas, Numpy, Matplotlib, seaborn. Lets get started with the EDA: 1. Exploratory Data Analysis (EDA): import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns #LOAD DATA SET df= pd.read_csv)'data.csv') #Display Information df.head()                       #First 5 records df.tail()                         #Last 5 records df.info()                         #Summary of the dataset df.describe                   #Statistical summary of the data) #CHecking for missing Values df.isnull().sum()   ...

 A Step-by-Step Guide to the Medicare Billing Process: Payments, Adjustments, and Transfers Explained Understanding the Medicare Billing Process: A Detailed Guide to Payments, Adjustments, and Transfers      Medical billing with Medicare involves a structured sequence of transactions that ensures healthcare providers are accurately reimbursed for the services they deliver. This process includes specific steps where Medicare Payments, Adjustments, and Transfers play a crucial role in determining the final amounts owed and paid.  Here’s an in-depth look at each stage of the Medicare billing process, with a focus on how payments, adjustments, and transfers are applied and in what sequence these transactions typically occur. 1. Patient Visit and Service Rendering      The process begins when a patient visits a healthcare provider and receives a medical service. The healthcare provider documents the services rendered and assigns the appropriate procedu...