International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
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Exploratory Review of Data Visualization and Time Series

Authors: Varun P. Patil, Ajit S. Mali

Country: India

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Abstract: Graphical representation of data, which helps in understanding complex data like "Big Data" is called "Data Visualization". As the data is growing rapidly it becomes difficult to interpret the patterns and trends in data apart from this data visualization is used for monitoring data for data cleaning, evaluating models, and representing the results of models. Time series data visualization is an instrument where a time series is a group of observations on a single entity over some time, it also helps in the recognition of important features of the time. Time Series Visualization is the first step toward getting trending patterns in from the time series. There are 2 types of time series uni-varient and multi-varient. These 2 types can be used for analysis of time series. The main objective of time series modeling or analysis is to analyse the past data and to develop the model which could find trends, patterns, etc. This model could predict future values, which can be used for forecasting. This paper will provide information about various common data visualization techniques, libraries and tools. Also will illustrate the importance of “Time series”.


Paper Id: 230062

Published On: 2023-03-30

Published In: Volume 11, Issue 2, March-April 2023

Cite This: Exploratory Review of Data Visualization and Time Series - Varun P. Patil, Ajit S. Mali - IJIRMPS Volume 11, Issue 2, March-April 2023.

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