scatter-plot | Topic | Ecosyste.ms: Repos

Rian-Freitas/pairgrid-diamonds-dataset

A Seaborn Pairgrid graph that dispays scatter plot and histograms.

Language: Python - Size: 932 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

jiangshen/WurmVis

Exploring novel ways to display complex data with D3

Language: JavaScript - Size: 4.38 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

almeidacastrogabriela/DS815_moduleV_pandasgraphs

Notebooks used to solve exercises brought by professor Gabriela Uhrigshardt, who teaches Programming Techniques II at Let's Code Data Science 815

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kanchanchy/Data-Visualization-in-Python

Data Visualization in Python using Matplotlib, Seaborn and Plotly Express

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ankitapiu/Healthcare-Capstone

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vaitybharati/Assignment-09-Association-Rules-Data-Mining-my_movies-

Assignment-09-Association-Rules-Data-Mining-my_movies. Apriori Algorithm. Association rules with 10% Support and 70% confidence. Association rules with 5% Support and 90% confidence. Lift Ratio > 1 is a good influential rule in selecting the associated transactions. Visualization of obtained rule.

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vaitybharati/Assignment-09-Association-Rules-Data-Mining-Groceries-

Association Rules Data Mining (Groceries). Converting the data frame into a list of lists, Using Transactionencoder to transform this dataset into a logical data frame, Building the data frame: rows are logical and columns are the items that have been purchased, Print Column names, We need to drop nan column from the data frame, Most popular items, Top 10 Popular items, Barplot visualization of popular items, Apriori Algorithm: Association rules with 5% Support and 70% confidence, Association rules with 1% Support and 80% confidence, Visualization of obtained rule.

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vaitybharati/Assignment-09-Association-Rules-Data-Mining-Books-

Association-Rules-Data-Mining-Books. Apriori Algorithm, Association rules with 10% Support and 70% confidence, Association rules with 20% Support and 60% confidence, Association rules with 5% Support and 80% confidence, visualization of obtained rule.

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vaitybharati/Assignment-07-DBSCAN-Clustering-Crimes-

Assignment-07-DBSCAN-Clustering-Crimes. Perform Clustering for the crime data and identify the number of clusters formed and draw inferences.

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vaitybharati/P30.-Unsupervised-ML---K-Means-Clustering-Non-Hierarchical-Clustering-Univ.-

Unsupervised-ML---K-Means-Clustering-Non-Hierarchical-Clustering-Univ. Use Elbow Graph to find optimum number of clusters (K value) from K values range. The K-means algorithm aims to choose centroids that minimise the inertia, or within-cluster sum-of-squares criterion WCSS. Plot K values range vs WCSS to get Elbow graph for choosing K (no. of clusters)

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vaitybharati/Assignment-07-K-Means-Clustering-Airlines-

Assignment-07-K-Means-Clustering-Airlines. Perform clustering (K means clustering) for the airlines data to obtain optimum number of clusters. Draw the inferences from the clusters obtained. The file EastWestAirlinescontains information on passengers who belong to an airline’s frequent flier program. For each passenger the data include information on their mileage history and on different ways they accrued or spent miles in the last year. The goal is to try to identify clusters of passengers that have similar characteristics for the purpose of targeting different segments for different types of mileage offers.

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vaitybharati/P29.-Unsupervised-ML---Hierarchical-Clustering-Univ.-

Unsupervised-ML---Hierarchical-Clustering-University Data. Import libraries, Import dataset, Create Normalized data frame (considering only the numerical part of data), Create dendrograms, Create Clusters, Plot Clusters.

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vaitybharati/P26.-Supervised-ML---Multiple-Linear-Regression---Cars-dataset

Supervised-ML---Multiple-Linear-Regression---Cars-dataset. Model MPG of a car based on other variables. EDA, Correlation Analysis, Model Building, Model Testing, Model Validation Techniques, Collinearity Problem Check, Residual Analysis, Model Deletion Diagnostics (checking Outliers or Influencers) Two Techniques : 1. Cook's Distance & 2. Leverage value, Improving the Model, Model - Re-build, Re-check and Re-improve - 2, Model - Re-build, Re-check and Re-improve - 3, Final Model, Model Predictions.

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annanya-mathur/Data-Visualization-in-python

Data visualisation is done here by using numpy,pandas ,seaborn and matplotlib using easy and simple codes. Also, generating data from wikipedia - Url ,symmary, pages .

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doublealogic/US-Census-D3-Visuals

Using D3, this repository takes the data from the US Census Bureau's 2014 ACS 1-year estimates and creates animated visualizations from it.

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vaitybharati/P04.-Matplotlib-Visualization

Plotting two different categories- box plot, barplot, histogram. Plotting single category- Pie chart, bar chart. Different Plots- Scatter Plot, Histogram, Box Plot, Violin Plot

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vrclaros/d3-challenge

Utilize D3 techniques to create a scatter plot that are used to analyze health risks facing particular demographics.

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cristinabaldor/healthy_states

A visualization that uses data from the American Community Survey to compare several health outcomes by state.

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GabbyOlivares/D3js-Challenge

13.D3js - Data Journalism and D3 Visualizations

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UBC-MDS/Movie_Selection

An app to select movies for streaming services

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impratap/matplotlib

This is a Matplotlib repository...

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Lightning-Chart/lcjs-example-0902-3d50kPoints

A demo application showcasing using LightningChart JS 3D point series.

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abhishekmanglaa/lc-data-visualization

Using ggplot, part of the tidyverse library, I have created visualizations. Analyzing the loan structure.

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Trisha11r/Visual_Data_Analytics_Basics

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cparsania/corplot

An R package to generate heatbox and scatter plots from a feature matrix.

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rohitrawat13396/Data-Visualization--Dimension-Reduction-Techniques

Dimension Reduction Techniques

Language: Python - Size: 68.6 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 3

Develop-Packt/Creating-Plots-with-Matplotlib

Discover how to use Matplotlib to create visualizations using the built-in plots that are provided by the library. Customize your visualizations and write mathematical expressions using TeX.

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IndiraPV/Data-Journalism-and-Storytelling-with-D3

This website utilizes D3.js and d3-tip.js plugin to plot interactive chart that helps understand trends shaping people's lives from dataset provided by U.S. Census Bureau and the Behavioral Risk Factor Surveillance System.

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yongjinjiang/D3-DataJournalism

A data tool for series of feature stories about the health risks facing particular demographics.

Language: JavaScript - Size: 6.56 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

anthonyc1/data-visualization

Interactive data visualizations for Kaggle Brooklyn Home Sales data, built using D3.js

Language: JavaScript - Size: 28.8 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 1

Cheng-Lin-Li/InformationVisualization

This is my works on Information Visualization

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avvaruakshay/Chart-Utils

Language: JavaScript - Size: 12 MB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

gxa/scxa-tsne-plot

Single Cell Expression Atlas t-SNE plot

Language: CSS - Size: 2.08 MB - Last synced at: 7 days ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0

vladislavpyatnitskiy/financial.data.visualisation

Useful graphs for financial projects

Language: R - Size: 10.5 MB - Last synced at: 5 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

feifyKike/tiny-react-toolbox

An assortment of reusable react components for general UI needs. 🧱

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SyncfusionExamples/2D-vs-3D-Scatter-Charts-in-Energy-Data-Clarity-or-Complexity

This blog explores the differences between 2D and 3D scatter charts in the context of energy data, discussing their clarity, complexity, and the best use cases for each

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AHG-BSCS/FaceLog

A webpage application that can record attendance using the attendee's face. This application provides essential tools to manage attendance during runtime conveniently.

Language: Python - Size: 19.7 MB - Last synced at: 14 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

UBC-MDS/DSCI-532_2025_8_rental-issue-tracker

A dashboard application to track and visualize property details and by-law issues across the city of Vancouver, BC.

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gkrusta/dslr

Language: Python - Size: 2.16 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

CHRIS187814/CODVEDA

Work with a raw dataset (e.g., CSV file) that contains missing values, duplicates, and inconsistent data formats.

Language: Python - Size: 92.8 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

JamesCWeber/Lowe-s-Location-Analysis

This project is conducted to analyze the location data of Lowe's home improvement stores. The purpose of this project is to determine which variables will influence the number of Lowe's stores built in a location.

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KoksILasten/TNM111-InfoVis

Scatter plot visualisationimplemented from scratch in JavaScript.

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Lightning-Chart/lcjs-example-0908-3drealtimepoints

A demo application showcasing LightningChart JS to display 3D Scatter chart in real-time.

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Lightning-Chart/lcjs-example-0016-largeScatterChartXY

Example visualization of large scatter chart (> million data points)

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Lightning-Chart/lcjs-example-0001-simpleScatter

A demo application showcasing LightningChart JS Scatter chart

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adusachev/scanplot

A tool for extracting data from scatter plot images (plot digitizer).

Language: Python - Size: 107 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

kivanc57/feature_comparison

This project explores the relationship between features and diagnosis in cancer data. Using methods like boxplots, scatterplots, PCA, k-means clustering, and logistic regression, we analyze and visualize data to understand health indicators.

Language: R - Size: 3.33 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

chandadiya2004/car-price-prediction

This project combines a Random Forest model with a Streamlit web app to predict car prices based on various factors such as make, model, year, mileage, and more. The overall goal is to create an intuitive, interactive tool that helps users estimate car prices with high accuracy.

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VIPULbunny/Data-Visualization-with-Matplotlib

A collection of Python scripts showcasing data visualization techniques using Matplotlib. Includes scatter plots, bar charts, histograms, and pie charts with customizations. Ideal for beginners to learn and implement visualizations for data analysis and storytelling.

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sh4wnbk/numerical_data_bad_values

Identify hidden bad values in a dataset

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ngangawairimu/Data-visualization-with-python

Analyzed Coursera Course Dataset using Python for exploratory data analysis (EDA) and visualization to uncover insights on ratings, enrollments, and course attributes, providing actionable recommendations to optimize course offerings and enhance learner engagement.

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Victor-Pavageau/AverageMoviesDuration

Language: Python - Size: 85.9 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

SyncfusionExamples/Creating-a-Scatter-Chart-to-Explore-Ball-Sizes-and-Weights-Across-Different-Sports

This article demonstrates how to create a .NET MAUI scatter chart to display the dimensions and weights of balls used in various sports. Balls vary significantly across sports, each having unique sizes and weights, which can be effectively visualized using this chart.

Language: C# - Size: 533 KB - Last synced at: 20 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

vladislavpyatnitskiy/findatavizpy

Financial Data Visualisation

Language: Python - Size: 4.88 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

LakshmiSKarumuru/Data-Visualization-with-Python

This Project is to depict different types of charts using Data Visualization with python.The charts used here are Pie,Box,Scatter,Bubble and Line plots.The data used in the charts is about immigration to Canada..

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tashi-2004/Global-Ecommerce-Retail-Trends-Analysis

The Global E-commerce & Retail Analysis project involves data preprocessing, dimensionality reduction with PCA, CLV calculation and What-If analysis . Key insights include effective PCA for data reduction, detailed CLV analysis across segments , and the impact of pricing strategies on sales.

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JaewonSon37/Data_Visualization2

Topic : Revealing and analyzing the distribution, frequency, and impact of significant earthquakes that happened across various regions and periods of time with several visualization techniques.

Language: R - Size: 66.4 KB - Last synced at: 25 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Rock-Roll1968/Excel-Challenge

Excel data analysis of Crowdfunding platforms

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lmizner/codecademy_masculinity_study

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AshishSingh789/Data_Visualization

Data visualization project using Python to analyze categorical and continuous variables. Includes bar charts, histograms, and scatter plots. Libraries used: pandas, matplotlib, and seaborn.

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stephenombuya/Data-Visualization-with-R

This repository contains R programs that generate various types of charts and plots, commonly used for data visualization. The visualizations include:

Language: R - Size: 6.84 KB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

jonathanortega2023/scatter_maker

Tool created to help educators generate and download scatter plots based on a function with adjustable noise and regression.

Language: Dart - Size: 20.1 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

TheMrityunjayPathak/ExploratoryDataAnalysis

Exploratory Data Analysis

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yyigitturan/Interactive-Data-Visualization-With-Bokeh

This repository offers an in-depth exploration of advanced data visualization techniques using the Bokeh library in Python. It includes a series of sophisticated examples ranging from interactive line and scatter plots to hexbin and image visualizations.

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maheera421/Matplotlib

Exploring the implementation of plots in matplotlib

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LeftCoastNerdGirl/Matplotlib_and_NumPy

This project applies lessons using Matplotlib and Numpy

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Akshay0649/Data-Visualization-using-Python

Data Visualization using python

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jazaoo13/EDA_Iris_Dataset

Exploratory Data Analysis using the Iris dataset. Includes 1D and 2D Gaussian estimation and scatter plots.

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Brinthat/World-Development-Indicators

Exploring World Development Indicators: Identifying relationship between Health Indicators using Linear Regression & Classification of Income Group based on Health Indicators using Logistic Regression.

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afternoon-toast/CherryBlossom

A connected scatter plot that uses a flower emoji to represent each point as image markers using Deneb Visuals in Power BI.

Size: 5.28 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Suravi097/My.Works.

This repository contains all my works, my internships that I have worked on along with other additional projects that I did using R and Python.

Language: R - Size: 8.79 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

SyncfusionExamples/Creating-.NET-MAUI-Bubble-chart-to-visualize-Gender-distribution-in-Industrial-employment-in-2019

This article in the Syncfusion Blog explains the Gender Distribution in Industrial Employment in 2019 using .NET MAUI Bubble Chart

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souravmalik123/Project-on-Zomato-Data-Set-Exploratory-Data-Analysis-

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waldohidalgo/scatterplot_graph

Segundo proyecto requisito obligatorio: Visualize Data with a Scatterplot Graph para obtener la Data Visualization Certification de freecodecamp

Language: JavaScript - Size: 360 KB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Goww-99/TSF-GRIP_Task-6_Solution-by-GV

This is the repository for Task-6 Completed as a DSBA Intern @ The Sparks Foundation

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spacebakery/Make-the-Other-Charts

Data Visualization with Matplotlib | Matplotlib Fundamentals

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Goww-99/TSF-GRIP_Task-3_Sol3-by-GV

Task-3 Completed as a DSBA Intern @ The Sparks Foundation

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shwetapardhi/Assignment-05-Multiple-Linear-Regression-1

Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.p

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hshadman/2d_conformational_landscape_map

Use PyConforMap to generate a simple scatter plot to map conformational landscapes of intrinsically disordered proteins, and quantify conformational diversity.

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gurdalertek/streaming-video-platforms

R code to analyze streaming video platforms (code developed by Maitha Almemari and Mariam Almuhairi)

Language: R - Size: 675 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

melewan/Megans-Codes

Contains R codes for processing and analyzing data for Great Lakes Cladophora work

Language: R - Size: 167 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

El-Giovanni92/RFM-customer-profiling

A customer profiling project based on RFM (Recency, Frequency, Monetary) analysis using a dataset from an online retail company in the United Kingdom. The aim is to identify customer habits and create personalized marketing strategies for targeted advertising.

Language: Python - Size: 7.38 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

somyanagar/airbnb-dashboard

Interactive dashboard app for Airbnb data developed using Python and Dash

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MylieMudaliyar/how-poverty-and-trade-impact-carbon-footprint

A datascience project analysing the effect of poverty and international trade among and within 196 countries on global carbon footprint.

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pradyumna03/design-of-engg-exp

Size: 1.33 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

SyncfusionExamples/Creating-billionaires-chart-dashboard-using-WPF-chart-controls

Creating Chart Dashboard for World's Billionaires, Billionaire Categories and Countries

Language: C# - Size: 28.3 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

saurabh18n/saurabh18n.github.io

D3 Projects

Language: JavaScript - Size: 1.58 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1

gazizovaa/Kaggle-Data_Visualization-Exercises

During the course introduced by Kaggle, I completed all the exercises required to finish the course successfully.

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apoorvadudani/Market-Positioning-using-Perceptual-Maps

I use MS Excel to position household blenders in the market based on customer perceptions using a perceptual map, which also helps indicate gaps and potential opportunities in the market to launch a new household blender brand.

Size: 30.3 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

GKN-Tech/BriseCheck_Website

Web Crawler, Visualizations and Game

Language: HTML - Size: 4.87 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

rutendofortunate/Learning-Matplotlib-2

(21/02/24 - 22/02/24) Beginners' guide to learning how to work with Matplotlib by NeuralNine on Youtube

Language: Python - Size: 238 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

SyncfusionExamples/Creating-a-Scatter-Chart-Using-CO2-Emission-for-fossil-fuels-in-2022

This sample demonstrates how to create a Scatter Chart Using CO2 Emission for fossil fuels in 2022.

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SyncfusionExamples/Create-a-Football-Transfer-Spending-and-Earnings-data-around-the-world-in-2016

This sample demonstrates how to Create a Football Transfer Spending and Earnings among the big five league clubs around the world in 2016 using the WPF Charts.

Language: C# - Size: 176 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1

Harshkansara26/GRIP-SPARK-Exploratory-Data-Analytics

SPARK - GRADUATE ROTATIONAL INTERNSHIP PROGRAM¶

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mds-islam/Plot_Raster

This script contains MATLAB codes to perform relationship estimation between two variables where the data are in raster format. It is a part of one of my academic projects at Lund University.

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Mahamad-Jameer-Makandar/Data-Visualization-on-Honey-Production-dataset-using-seaborn-and-matplotlib-libraries

Explore honey production dynamics (1998-2012) in the U.S. amid declining bee populations using Python's seaborn and matplotlib. Visualize key attributes like colonies, yield, production, price, and stocks to draw insights into the impact on American honey agriculture.

Language: Jupyter Notebook - Size: 850 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Topic: "scatter-plot"