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README.md

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@@ -24,6 +24,11 @@ The readers will get the opportunity to explore open-source datasets including h
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Please note we tested the codes presented in this book with the specific version of `pandas`, `matplotlib`, `python` and other Python libraries. Running the code with a newer or older version might result in warnings and errors. If you encounter any errors, feel free to raise an [issue here](https://github.com/PacktPublishing/Hands-on-Exploratory-Data-Analysis-with-Python/issues?q=is%3Aissue+is%3Aopen+sort%3Aupdated-desc), and we will try our best to sort it out.
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#Errata
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- Page 13 (Chapter 1): "and real estate industries **storehouse**..." _should be_ "and real estate industries **store house**..."
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- Page 14 (Chapter 1): “... there are **four** observations (001, 002, 003, 004, 005).” _should be_ "... there are **five** observations (001, 002, 003, 004, 005)."
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# Want to become expert
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### Download a free PDF
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<i>If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.<br>Simply click on the link to claim your free PDF.</i>
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<p align="center"> <a href="https://packt.link/free-ebook/9781789537253">https://packt.link/free-ebook/9781789537253 </a> </p>
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<p align="center"> <a href="https://packt.link/free-ebook/9781789537253">https://packt.link/free-ebook/9781789537253 </a> </p>

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