Aug 5, 2024 · Your All-in-One Learning Portal: GeeksforGeeks is a comprehensive educational platform that empowers learners across domains-spanning computer science and programming, school education, upskilling, commerce, software tools, competitive exams, and more.

Mar 21, 2024 · It can plot graph both in 2d and 3d format. It has a feature of legend, label, grid, graph shape, grid and many more that make it easier to understand and classify the dataset.

Sep 23, 2024 · Exploratory Data Analysis (EDA) is a technique to analyze data using some visual Techniques. With this technique, we can get detailed information about the statistical summary of the data. We will also be able to deal with the duplicates values, outliers, and also see some trends or patterns present in the dataset.

Mar 21, 2024 · Exploratory Data Analysis (EDA) on the Iris Dataset in Python involves a thorough examination of data through visualization and statistical techniques. Using Python libraries like Pandas, Seaborn, and Matplotlib, EDA includes creating histograms, box plots, and scatter plots to understand distributions and relationships among variables like ...

Aug 19, 2022 · Write a Python program to create a box plot (or box-and-whisker plot) which shows the distribution of quantitative data in a way that facilitates comparisons between variables or across levels of a categorical variable of iris dataset.

Jan 4, 2025 · Through this Exploratory Data Analysis on Iris Dataset with Python, we explored key relationships between features, visualized them through various plots, and identified insights that can aid in building predictive models.

Oct 2, 2023 · Here, I’ll show you how to perform EDA on the Iris dataset with colorful visualizations using Python’s seaborn and matplotlib libraries.

Sep 7, 2019 · In this blog, we take Iris Dataset and perform various EDA techniques using python which are given below :- Introduction to IRIS dataset 1D ,2D and 3D scatter plot Pair plots Histogram

Apr 30, 2023 · Python offers several packages for creating visualizations, including Matplotlib, Seaborn, Plotly, Bokeh, and ggplot. Given the simplicity of the Iris dataset, this article will showcase simple...

Dec 17, 2024 · In this article, we'll explore how to visualize this dataset using Scikit-Learn, a powerful machine learning library in Python. We'll use various plotting techniques to understand the characteristics of the dataset better and perhaps gain some insights into its structure.