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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. The link for the Dataset is: [link] You can download it […].

EDA 328
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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. With Code Interpreter, you can perform tasks such as data analysis, visualization, coding, math, and more.

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Diving Deep into OLAP: Unveiling the Power of Multidimensional Data Analysis

Pickl AI

Summary: Online Analytical Processing (OLAP) systems in Data Warehouse enable complex Data Analysis by organizing information into multidimensional structures. Key characteristics include fast query performance, interactive analysis, hierarchical data organization, and support for multiple users.

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GPT 4o + Canvas + o1 preview — Data Analysis Just Took a Quantum Leap!

Towards AI

In this example, we will unlock the full potential of their models for data analysis. After downloading the dataset, you’ll see three different datasets. SS of the output It is time to load these into data frames, so let’s start Data exploration. To do that, let’s use a real-life dataset from Kaggle.

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How to Build Data Experiences for End Users

Data aware: Users can combine past experiences, intuition, judgment, and qualitative inputs and data analysis to make decisions. Data fluent: Users can go beyond insights and instinct to communicate, collaborate, tell stories, and drive ideas to make decisions based on data.

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Is your big data analysis secure? 3 proven ways to secure big data

Data Science Dojo

Content filtering empowers organizations to establish better control over the flow of information within their systems, preventing unauthorized access to sensitive data.

Big Data 195
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The Future of AI with ChatGPT Plugins

Analytics Vidhya

These plugins can be downloaded from the plugins store and are presently only available to a select group of users. The introduction of ChatGPT modules by Open AI is intended to improve the user experience. Users of ChatGPT can anticipate increased convenience as a result of the launch of these plugins.

AI 326
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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.