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Step-by-Step Exploratory Data Analysis (EDA) using Python

Analytics Vidhya

Introduction to EDA The main objective of this article is to cover the steps involved in Data pre-processing, Feature Engineering, and different stages of Exploratory Data Analysis, which is an essential step in any research analysis. Data pre-processing, Feature Engineering, and EDA are fundamental early […].

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Pandas Functions You Should Know for Data Analysis

Analytics Vidhya

Introduction Any data science task starts with exploratory data analysis to learn more about the data, what is in the data and what is not. Having knowledge of different pandas functions certainly helps to complete the analysis in time. Therefore, I have listed […].

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An Introduction to Julia for Data Analysis

Analytics Vidhya

Introduction Which language do we use when it comes to data analysis? But there is one more language for data analysis which is growing rapidly. The post An Introduction to Julia for Data Analysis appeared first on Analytics Vidhya. Of course, Python, isn’t it?

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Mastering Exploratory Data Analysis (EDA): A comprehensive guide

Data Science Dojo

In this blog, we will discuss exploratory data analysis, also known as EDA, and why it is important. We will also be sharing code snippets so you can try out different analysis techniques yourself. This can be useful for identifying patterns and trends in the data. So, without any further ado let’s dive right in.

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How to Build Data Experiences for End Users

Data literate: Users have a comfort level of working with, manipulating, analyzing, and visualizing data. Data aware: Users can combine past experiences, intuition, judgment, and qualitative inputs and data analysis to make decisions. Download the eBook to learn about How to Build Data Experiences for End Users.

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Learn Data Analysis with Julia

KDnuggets

Setup the environment, load the data, perform data analysis and visualization, and create the data pipeline all using Julia programming language.

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Revamp Data Analysis: OpenAI, LangChain & LlamaIndex for Easy Extraction

Analytics Vidhya

With just a few lines of code, you can tap into the vast knowledge […] The post Revamp Data Analysis: OpenAI, LangChain & LlamaIndex for Easy Extraction appeared first on Analytics Vidhya.

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Drive Better Decision-Making with Data Storytelling

Data-driven storytelling could be used to influence user actions, and ensure they understand what data matters the most. A good data story is formed by three components: Data analysis - This is the basis of a strong story and mastering the data is an essential part of the process.