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You're reading from  Graph Data Science with Neo4j

Product typeBook
Published inJan 2023
Reading LevelIntermediate
PublisherPackt
ISBN-139781804612743
Edition1st Edition
Languages
Python
Tools
Neo4j
Concepts
Mobile Application Development
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Author (1)
Estelle Scifo
Estelle Scifo
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Estelle Scifo

Estelle Scifo possesses over 7 years experience as a data scientist, after receiving her PhD from the Laboratoire de lAcclrateur Linaire, Orsay (affiliated to CERN in Geneva). As a Neo4j certified professional, she uses graph databases on a daily basis and takes full advantage of its features to build efficient machine learning models out of this data. In addition, she is also a data science mentor to guide newcomers into the field. Her domain expertise and deep insight into the perspective of the beginners needs make her an excellent teacher.
Read more about Estelle Scifo

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Importing CSV data into Neo4j with Cypher

The comma-separated values (CSV) file format is the most widely used to share data among data scientists. According to the dataset of Kaggle datasets (https://www.kaggle.com/datasets/morriswongch/kaggle-datasets), this format represents more than 57% of all datasets in this repository, while JSON files account for less than 10%. It is popular for the following reasons:

  • How it resembles the tabular data storage format (relational databases)
  • Its closeness to the machine learning world of vectors and matrices
  • Its readability – you usually just have to read column names to understand what it is about (of course, a more detailed description is required to understand how the data was collected, the unit of physical quantities, and so on) and there are no hidden fields (compared to JSON, where you can only have a key existing from the 1,000th record and later, which is hard to know without a proper description or advanced data...
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Graph Data Science with Neo4j
Published in: Jan 2023Publisher: PacktISBN-13: 9781804612743
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Estelle Scifo

Estelle Scifo possesses over 7 years experience as a data scientist, after receiving her PhD from the Laboratoire de lAcclrateur Linaire, Orsay (affiliated to CERN in Geneva). As a Neo4j certified professional, she uses graph databases on a daily basis and takes full advantage of its features to build efficient machine learning models out of this data. In addition, she is also a data science mentor to guide newcomers into the field. Her domain expertise and deep insight into the perspective of the beginners needs make her an excellent teacher.
Read more about Estelle Scifo

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