Jan 30 · 5 min read · This is Part 2. If you haven't read Part 1, check it out here , I covered data wrangling, cleaning, and analysis of sales by state and order trends. Question 3: Does Late Delivery Hurt Customer Satisfaction? Late delivery is a common problem in e-com...
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Jan 30 · 10 min read · In e-commerce, data helps businesses make better decisions and improve customer experience. But before we can analyze data, we need to clean and transform it first , that's what data wrangling is about. This can be simple stuff like removing missing ...
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Oct 20, 2025 · 9 min read · Real-world data is often messy, with inconsistent spellings, stray characters, and mixed number formats that can complicate even simple analyses. In this post, I will guide you through a practical, beginner-friendly OpenRefine workflow, inspired by a...
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May 25, 2025 · 5 min read · Photo by fabio on Unsplash Introduction: The Hidden Stories in Netflix’s Data As data professionals, our first challenge is transforming this raw information into a clean, structured dataset ready for analysis. As I dive deeper into my second week of...
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May 24, 2025 · 7 min read · INTRODUCTION Exploratory data analysis (EDA) is used by data scientists to analyze and investigate data sets and summarize their main characteristics, often employing data visualization methods. EDA helps determine how best to manipulate data sources...
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Oct 23, 2024 · 3 min read · In this tutorial, we will guide you through setting up an Amazon S3 bucket and using Amazon SageMaker Data Wrangler to perform feature engineering on a dataset. Follow along to get started. Step 1: Create an S3 Bucket To create an S3 bucket in your p...
Join discussionSep 15, 2024 · 3 min read · What is Data Wrangling and Data Quality and why it's important? Data Wrangling Data Wrangling is the process of transforming raw or received data into a format that can be analyzed to create insights. This involves making decisions about the quality ...
Join discussionMay 14, 2024 · 6 min read · Table of content: I. Introduction III. what is data wrangling? IV. Why data wrangling in data analysis? V. How do we do it using Python functions? Introduction: Till now many people in their articles and videos might have conveyed you that why Python...
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Feb 11, 2024 · 2 min read · In the ever-evolving world of technology, data management and analysis have become pivotal for developers and data analysts alike. The introduction of the VS Code Data Wrangler by Microsoft marks a significant leap towards enhancing productivity and ...
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Jan 12, 2024 · 3 min read · In today's data-driven world, the ability to efficiently handle and wrangle large datasets is crucial for extracting meaningful insights and making informed decisions. As the volume of data continues to grow exponentially, data scientists and analyst...
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