Discuss various preliminary adjustments that are necessary to do before analysing a time series data. 

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Analyzing time series data requires careful consideration of various factors and preliminary adjustments to ensure the accuracy and reliability of the results. Time series data is a sequence of observations recorded at regular intervals over time, and it often exhibits specific patterns and characteristics that need to be addressed before diving into the analysis. Here are some key preliminary adjustments to consider:

1. Data Cleaning: The first step in any data analysis is data cleaning. Remove or impute missing values, handle outliers, and address any data entry errors. Missing data can significantly impact the analysis, and imputing values should be done carefully, considering the nature of the ________ ___________ ___________ _____________ ________ ___________ _____________ ___ __ _________ ___________ ________ __________.
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Degree : BACHELOR DEGREE PROGRAMMES
Course Name : BACHELOR IN COMMERCE CHOICE BASED CREDIT SYSTEM
Course Code : B.Com(G) CBCS
Subject Name : BUSINESS MATHEMATICS AND STATISTICS
Subject Code : BCOC 134
Year : 2022 2023