Time Series Data
Time series data is a sequence of data points collected or recorded at specific time intervals, often used to analyze trends, patterns, and changes over time. Examples include daily stock prices, monthly sales figures, or yearly temperature records.
Trend
In time series analysis, a trend refers to the long-term movement or direction in data over time, indicating whether the data is generally increasing, decreasing, or remaining stable. Trends help identify the underlying pattern in the data, separate from short-term fluctuations or seasonal effects.
Seasonality
In time series analysis, a trend refers to the long-term movement or direction in data over time, indicating whether the data is generally increasing, decreasing, or remaining stable. Trends help identify the underlying pattern in the data, separate from short-term fluctuations or seasonal effects.