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EDA on SuperStore Dataset Using Python

Analytics Vidhya

Table of Contents Introduction Working with dataset Creating loss dataframe Visualizations Analysis from Heatmap Overall Analysis Conclusion Introduction In this article, I am going to perform Exploratory Data Analysis on the Sample Superstore dataset.

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The 6 best ChatGPT plugins for data science 

Data Science Dojo

This means that you can use natural language prompts to perform advanced data analysis tasks, generate visualizations, and train machine learning models without the need for complex coding knowledge. Data manipulation:  You can use the plugin to perform data cleaning, transformation, and feature engineering tasks.

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Exploratory Data Analysis on Stock Market Data

Mlearning.ai

Exploratory Data Analysis on Stock Market Data Photo by Lukas Blazek on Unsplash Exploratory Data Analysis (EDA) is a crucial step in data science projects. It helps in understanding the underlying patterns and relationships in the data. The dataset can be downloaded from Kaggle.

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Building an End-to-End Machine Learning Project to Reduce Delays in Aggressive Cancer Care.

Towards AI

Figure 3: The required python libraries The problem presented to us is a predictive analysis problem which means that we will be heavily involved in finding patterns and predictions rather than seeking recommendations. One important stage of any data analysis/science project is EDA. Exploratory Data Analysis is a pre-study.

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Introduction

Towards AI

Exploratory Data Analysis Next, we will create visualizations to uncover some of the most important information in our data. At the same time, the number of rows decreased slightly to 160,454, a result of duplicate removal. Therefore, below is the monthly average price of HDB flats from January 2017 to August 2023.

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Data Analysis Project with PandasStep-by-Step Guide (Ted Talks Data)

Towards AI

Through each exercise, you’ll learn important data science skills as well as “best practices” for using pandas. By the end of the tutorial, you’ll be more fluent at using pandas to correctly and efficiently answer your own data science questions. Table of Contents: Exploratory Data Analysis is all about answering a specific question.

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Announcing the Winners of ‘The NFL Fantasy Football’ Data Challenge

Ocean Protocol

This report took the data set provided in the challenge, as well as external data feeds and alternative sources. In the link above, you will find great detail in data visualization, script explanation, use of neural networks, and several different iterations of predictive analytics for each category of NFL player.