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You're reading from Big Data Analytics with Java

Product typeBook

Published inJul 2017

Reading LevelIntermediate

PublisherPackt

ISBN-139781787288980

Edition1st Edition

Languages

Java

Tools

Apache Spark Hadoop

Concepts

Big Data

Author (1)

RAJAT MEHTA

Time Series chart

This is a simple chart used for measuring events over time or in other words it is a series of statistical observations that are recorded over time. Visualizing your data this way would help you figure out how the data changes with respect to time in the past and you can also make predictions regarding the values that might occur in the future when time changes. Let's now see some sample Time Series charts in action.

Before giving examples of time series charts, let's understand the dataset used for the time series chart examples.

All India seasonal and annual average temperature series dataset

In this dataset, we have India's seasonal temperature captured on monthly/annual basis from 1901 to 2015. The dataset is downloaded as a JSON file from https://data.gov.in/catalog/all-india-seasonal-and-annual-mean-temperature-series. You can also find the sample dataset in the GitHub code accompanied with this book.

This dataset comprises two json objects as shown next:

Fields: This...

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Big Data Analytics with Java

Published in: Jul 2017Publisher: PacktISBN-13: 9781787288980

Author (1)

RAJAT MEHTA

The author is a VP (Technical Architect) in technology in JP Morgan Chase in New York. The author is a sun certified java developer and has worked on java related technologies for more than 16 years. Current role for the past few years heavily involves the usage of bid data stack and running analytics on it. Author is also a contributor in various open source projects that are available on his GitHub repository and is also a frequent write on dev magazines.
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You're reading from Big Data Analytics with Java

Time Series chart

All India seasonal and annual average temperature series dataset

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