Understanding China Through Big Data

Yunsong Chen

at 250 WPM

5h 4m

The average reader, reading at a speed of 250 WPM, would take 5h 4m to read Understanding China Through Big Data.

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11

days at 30 min/day

304

total minutes

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Understanding China Through Big Data

by Yunsong Chen, Guangye He, Fei Yan

2021

Taylor & Francis Group

304

9780367758264

Frequently Asked Questions

How many pages are in Understanding China Through Big Data?

This edition of Understanding China Through Big Data has approximately 304 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.

How long does it take to read Understanding China Through Big Data?

For most readers, Understanding China Through Big Data typically takes between 6h 20m and 4h 13m to complete. This is based on the book's length of approximately 76,000 words and common reading speeds.

Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 5h 4m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 11 days • Estimated word count: 76,000 words

Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.

What is the word count of Understanding China Through Big Data?

The estimated word count for Understanding China Through Big Data is approximately 76,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.

This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.

Who is the author of Understanding China Through Big Data?

Understanding China Through Big Data was written by Yunsong Chen, Guangye He, Fei Yan.

When was Understanding China Through Big Data published?

The publication date for this specific edition is 2021. The original work may have been published on a different date.