Right off the bat, time-series data is not your average dataset! You might have worked with housing data wherein each row represents features of a particular house (such as total area, number of bedrooms, year in which it was built) or student dataset wherein each row represents such information about a student (such as age, gender, prior GPA). In all these datasets, the common thing is that all samples (or rows in your dataset), in general, are independent of each other. What sets these datasets apart from time-series data is that in the latter, each row represents a point in time so naturally, there is some inherent ordering to the data. This is how a typical time-series data looks like:

#data-science #python #machine-learning #trend-analysis #time-series-analysis