Topic: "scatter-plot"
sindydanny/Prediction-with-Regression
The project aims to provide valuable insights for fair compensation strategies and improved logistical planning.
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AminKhavari78/-Maternal-Health-Risk-Data-Set
In this part I'm working on Maternal Health Risk Prediction
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ramya1907/Flower_Attribute_Analysis
A Python tool for analyzing and visualizing Iris flower measurements. Includes bar charts and scatter plots. Great for data analysis and visualization.
Language: Python - Size: 7.81 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

nikhilbordekar/Seaborn-and-Matplotlib
Explore data visualization with Seaborn and Matplotlib. This repository showcases examples of bar charts, line plots, scatter plots, heatmaps, histograms, and box plots for effective representation of inbuilt dataset insights.
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sindydanny/Dataframe_Exercise-1_and_Exercise-2
Exercise:1
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sindydanny/Xyz_Sales_Retail_Assignment
Sales Retail Analysis Report
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sindydanny/Data-Visualization-Exam-1
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mohamed-amor1/scatterplot-d3js
An interactive D3.js scatterplot visualizing cyclist race performance with and without doping allegations over the years.
Language: HTML - Size: 62.5 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

ftmoztl/EDA-data-visualization
Exploratory Data Analysis and Visualization of Google Play Store Dataset
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LauraMutheu/Python_Project_2
In this project, I use the 'Python Programming Language' to analyze a given dataset obtained from a shopping mall's database in a bid to increase sales by better marketing clusters.
Language: Jupyter Notebook - Size: 612 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

MarcoZazzini1989/Exploratory-data-analysis
Exploratory data analysis of electronic sales
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Stepha-code/Classification-and-Prediction
The prediction was done to examine the relationship between various prices in order to maximize profit. While the classification was done using random forest classification to classify the most important features in terms of percentage and also to check the days for most products to be manufactured.
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alaamjadi/Computer-Graphics-Project_Scatter-plot-visualization-using-WebGL
Scatter plot visualization using WebGL - Computer Graphics @POLIMI
Language: JavaScript - Size: 508 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Kmohamedalie/Tableau-Data-Visualization
Dynamic Dashboarding with Tableau
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ivan-moretti/sentiment-analysis
Sentiment analysis with Python as a final project on Coursera
Language: Python - Size: 30.3 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

catalinafs/ScatterplotGraph-D3
Scatterplot Graph created with D3.js JavaScript library in HTML, CSS and JavaScript Vanilla
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Night0Fury/ML_Internship_Project_2023
Analyze WW2 weather conditions & aerial bombing impact using NOAA data. Visualize trends & use regression models for insights.
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marta-pylypchuk/data-viz-notebook
Data visualization - qualitative & quantitative data (Airbnb listings for NY)
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Sanchariii/DataShow-Visualization
This is a Data Visualization App that allows the user to upload their dataset in clean format and then perform various Data Visualization like - Line Plots, Scatter Plots, Bar Plots, Box Plots, Violin Plots, Histogram Plots
Language: Python - Size: 6.84 KB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

JayVyas1409/Airlines_Dataset_by_Cluster
Airlines Dataset by Clustering
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sivkri/shiny-scatter-plot-app
This repository contains a Shiny app that allows users to create interactive scatter plots by selecting the X and Y axes and customizing the point color. The app utilizes the shiny package in R to provide a user-friendly interface and the ggplot2 package for creating visually appealing plots.
Language: R - Size: 601 KB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

badhonparvej481/K-Means-Clustering_ML
Language: Jupyter Notebook - Size: 395 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Borruu/python-api-challenge
Map visualisations of cities and accommodation across 500 random locations, along with weather conditions and their relationship to latitude.
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KristiBischoff/Data_Visualization_with_SAS
This repository demos the different plots with SAS.
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prakHr/custom-charts-clone
[Personal Project] - Project:- custom-charts-clone, Built with love
Language: JavaScript - Size: 4.63 MB - Last synced at: 4 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

KristiBischoff/Clothing-Business-Analysis-Tableau-Dashboard
Repository to preview, describe, and link to Tableau dashboard.
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Gustavo-Victor/scatter-plot
Scatter Plot Graph in JS and D3
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Ohmdatazwld5/Power-BI-Retail-Store-Project
POWER BI Retail Store Project
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tetaniarizki/SalesOfCandyAndCereal_forDoctorVisits
Regression Analysis: To determine the effect of candy and cereal consumption on the increasing number of dental visits (with R).
Language: R - Size: 9.77 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

a-foote/VGsalesDashboard
A dashboard for video game sales using Dash.
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mohinichandra/IMDB-Movie-Analysis
A case study done on the 1000 movies list For this project I have used dataset from kaggle 'IMDB-Movie-Data.csv'. It contains features like Title, Genre, Description, Director, Rating etc.
Language: Jupyter Notebook - Size: 377 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

mohinichandra/homeprice_prediction
A prediction model developed using python
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ozturkfemre/Data_Visualization_Base_R
Data Visualization with Base R Graphics Package
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2YY/ngx-chart-scatter-plot
Language: TypeScript - Size: 8.47 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Anas1108/Internet-Usage-in-Denmark-and-Belarus-Analysis
This project aims to compare the adoption of the internet in Denmark and Belarus and determine if income level has an impact on the speed of adoption. The data used for this analysis is from the World Bank Data (1990-present) and is stored in the file "WorldBankData.csv".
Language: R - Size: 321 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

setu-glitch/AnimatedScatterPlot
This project provides a simple and easy way to create an animated scatter plot in Microsoft Excel using macros. The scatter plot will animate the data points over time to show how they change and evolve.
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Anas1108/Line_And_Scatter_Plot_Using_D3_On_Movies_Dataset
This project demonstrates the use of D3.js to plot a scatter plot (budget vs revenue) and line plot (average revenue over time) using a movies dataset.
Language: JavaScript - Size: 9.77 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

amatutuwaa/Pymaceuticals
Pymaceuticals Inc., is a new pharmaceutical company that specializes in anti-cancer medications. Recently, it began screening for potential treatments for squamous cell carcinoma (SCC), a commonly occurring form of skin cancer. The task of the python project is to generate all of the tables and figures needed for the technical report of the study.
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WilliamSpanfelner/day-78-Nobel_Prize_Analysis
Pump-up the glam in Jupyter Notebooks with innovative tools like Plotly, MatPlotLib and Seaborn.
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WilliamSpanfelner/day-75-Google-Play-Store-App-Analytics
Screenshot of Revenue Distribution by App Category Plotly Box Plot created by William Spanfelner.
Language: Jupyter Notebook - Size: 941 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

uakanksha/data_visualization
data analysis and visualization with R
Language: R - Size: 2.45 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

tetaniarizki/simple-statistics-using-R
The following is a simple statistical analysis using a customer satisfaction level dataset. The data was obtained from the DQLab learning page assessment.
Language: R - Size: 9.77 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

AndrewShanahan/fundata-assessment
ATU H.Dipp in Computer Programming in Data Analytics: Repository for Fundamentals of Data Analysis
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avatarfreak/responsive-scatter-chart
Scatter Plot build with d3.
Language: JavaScript - Size: 2.33 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

jaiminjariwala/Random_Forest_Project_1
Language: Jupyter Notebook - Size: 818 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

schatzederwelt/best-oil-production-region
Предсказание прибыльного региона нефтедобычи
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PatilSukanya/Assignment-08-PCA
Used libraries and functions as follows:
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alvarojob20/Data-Visualizations-with-Python-Libraries
Language: Jupyter Notebook - Size: 4.25 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

lmizner/codecademy_marketing_data_anlaytics
Final project as a part of the Codecademy Data Science: Analytics career path
Language: Jupyter Notebook - Size: 13.1 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

lmizner/codecademy_roller_coaster
Testing Matplotlib data visualization skills with these challenge projects
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mvrahas/golf-skills-visualization
Scatterplot to visualize the rankings of the top PGA Tour players between 1980 and 2014
Language: Processing - Size: 806 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

AvinashKumarMahato/react-scatter-plot-and-bar-graph
To implement a scatter plot and bar chart using React
Language: JavaScript - Size: 200 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

dczornyj/Pymaceutical-Drug-Regimen-Testing-Mice
Exploratory analysis on the reduction in tumor volume for mice based on the experimentation with treatment of various drug regiments. Results have been explored and charted using Matplotlib
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PatilSukanya/Assignment-07-Clustering-Q2-Crime
Used libraries and functions as follows:
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PatilSukanya/Assignment-05.-Multiple-Linear-Regression-Q1
Used libraries and functions as follows:
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swapsid/PCA_hand_written_digits
Visually capture the process of Principal Component Analysis(PCA) on the Pen-Based Recognition of Handwritten Digits Data Set
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Abdelrahman-Yasser-1/Statistical-Inferance-Project
This project to implementing statistical inference techniques using R language.
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Dullard-boy/Analysis-of-Anatomical-Data
A statistical analysis of anatomical data of students.
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ashishyadav24092000/Kmeans_Implementation
KMeans algorithm using a random K-value as 2.
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Mrcwr2/Py_Surviving_Titanic_Scatterplot
Surviving the Titanic Scatterplot Dataset using python (seaborn, matplotlib, numpy and csv) - https://replit.com/@CharlesRobinso4/310-L7-Soft-Displaying-Titanic-Datasets-Starter#titanic.png
Language: Python - Size: 16.6 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

Marietaaaa/Meteorological-Charts
Graphs that describe weather.
Language: Python - Size: 1.95 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

abel-blue/telecom-user-analytics
Engagement and satisfaction analysis for a telecom company.
Language: Jupyter Notebook - Size: 84.5 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

ashishyadav24092000/Transform_Dep_Vars_regression
In this notebook we would try to modify or transform our dependent variable to rectify the model and at last create a better suited regression model as compared to other. We will just take the natural logarithm of the dependent variable and it will solve the problem of conical spread of datapoints in standard residual plot. It means that our current model has varying variance and needs to be rectified.
Language: Jupyter Notebook - Size: 129 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

ashishyadav24092000/Curvilinear_models
Here we will learn how to identify a curvilinear model and how to do the modelling for that using OLS(Ordiniary Least Square) method. Plotting residual plots for the models.
Language: Jupyter Notebook - Size: 2.02 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Pradnya1208/World-happiness-index-analysis-plotly-dashboard
This project aims to do the detailed analysis of World happiness index using Python and create a dashboard summarizing entire analysis using both Tableau and Plotly Dash.
Language: Jupyter Notebook - Size: 38.1 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

mtbulut/D3_homework
The current data set includes data on rates of income, obesity, poverty, etc. by state. MOE stands for "margin of error."
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ashishyadav24092000/LogisticRegression_Apparell_Coupon_prediction
This code predicts that how many customers having a simmons credit card, debit card,monthly spendings at thier apparel store would buy or not use the coupon sent. Afterwards it would provide a logistic regression model to conclude that to which customers the expensive SImmons Coupons should be sent. So that eventually it would maximize the benefit for the simmons.
Language: Jupyter Notebook - Size: 4.23 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

ashishyadav24092000/MAximumLIkelihoodEstimator2_TVads_and_carsold
Here for a small dataset we have used OLS(Ordiniary Least Square) and MLE(Maximum likelihood Estimation ) to calculate the regression parameters slope(b1),intercept(b0) and standard deviation of reisduals.At the end we can conclude that both the methods of estimation produces the same result.
Language: Jupyter Notebook - Size: 385 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

cesarhdezap/bubble-chart-generator
A python3 script for bubble chart generators with a csv file
Language: Python - Size: 47.9 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

ashishyadav24092000/MultipleLinearRegression_CategoricalVariables
This python code shows howw regression is handled in case of categorical variables using duumies. It calculates the multiple regression code and shows the regression table. It also performs the residual analysis.
Language: Jupyter Notebook - Size: 975 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

ashishyadav24092000/MultipleLinearRegression_TruckingCompany
Multiple Linear Regression modelling for a sample data trucking.xlsx
Language: Jupyter Notebook - Size: 357 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

ashishyadav24092000/Prediction-And-Confidence-interval-LinearRegression
Plotting of the Confidence interval and Prediction interval for a Linear Regression model.
Language: Jupyter Notebook - Size: 1.24 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

sharmasapna/Bluebike_Traffic_Forecasting
EDA and Capacity planning of Bluebike, Boston.
Language: Jupyter Notebook - Size: 10.6 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

ashishyadav24092000/TensileStrength_VS_hardness_DieCastAluminium
This regression model subtly explain how much the variability in tensile strength of the die cast alumnium can be explained with the help of its hardness.It gives an overall regression model as well as a training,tetsing regression models. It uses various python libraries and methds like -sklearn,statsmodel.api,train_test_split,sklearn.metrics,pandas,numpy,scipy,linear_model,OLS,regression.
Language: Jupyter Notebook - Size: 830 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Minoo-Kim/3D-Clusterplot
Grouped compounds together w/ k-means clustering then displayed it using R-Shiny front end. The criteria for comparison are h-bond donators, h-bond acceptors, and rotational bonds. Compound.csv is made w/ 1000 random chemicals from disgenet.org
Language: R - Size: 27.3 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

matteo-campana/d3-ScatterPlot-responsive
Language: HTML - Size: 18.6 KB - Last synced at: 23 days ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

enj657/Cryptocurrencies
Used unsupervised machine learning, PCA algorithm, and K-Means clustering to analyze and classify a cryptocurrency database.
Language: Jupyter Notebook - Size: 10.3 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

sakchoub/Data-Analysis-using-R
Performed data analysis on confirmed, death and recovered cases for India using Exploratory data Analysis, Hypothesis testing using T- test, F-test and Regression.
Size: 888 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

ClaytonsCreations/mouse-data
Using Matplotlib and Pandas to analyze mouse data.
Language: Jupyter Notebook - Size: 129 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

lChap701/Visualize-Data-with-a-Scatterplot-Graph
A project that I created for freeCodeCamp that displays a scatterplot using D3.js.
Language: JavaScript - Size: 8.79 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

Karla-Flores/Python-API
This project is in two parts. First, WeatherPy visualizes the weather of 500+ cities across the world of varying distances from the equator, using Python script, CityPy, and OpenWeatherMap APIs. The second part, VacationPy, uses Jupiter-Gmaps and the Google Places API to create a heatmap and filter down cities.
Language: Jupyter Notebook - Size: 7.21 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

Meenakshi-10/SDS-Project
Analysis of Air Quality in India before and after COVID-19 lock down. Implemented using Python (Jupyter Notebook). *Complete project report contained in word document - SDS Project.docx
Language: Jupyter Notebook - Size: 11.8 MB - Last synced at: 7 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 1

StevenWhitaker/ParameterEstimateScatterPlots.jl
Basic scatter plots with overlayed linear fit and ideal trend lines for visualizing estimator performance
Language: Julia - Size: 90.8 KB - Last synced at: 8 days ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 1

jilek/Cryptocurrencies
Unsupervised machine learning clustering analysis on a large set of cryptocurrencies.
Language: Jupyter Notebook - Size: 5.28 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

d4rthm4ul/R-Cleaning-Exploration-Imputation-Visualization
This repository you are browsing contains intermediate level piece of codes which are useful for cleaning, exploratory analysis, handling of missing data points, outlier detection and different visualization techniques using graphics, ggplot2, tidycharts, ggExtra packages. Also in particular part of the script you can get basic information about SparkR package which is an R package that provides a light-weight frontend to use Apache Spark from R . Do not be shy to fork and make contribute.
Language: R - Size: 116 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 1

manishalal145/MatplotlibChallenege
The performance of Pymaceuticals' drug of interest, summary statistics table consisting of the Charts, mean, median, variance, standard deviation, and SEM of the tumor volume for each drug regimen.
Language: Jupyter Notebook - Size: 1.39 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

arnab132/Graph-Plotting-Python
Graph Plotting Implementation using Python
Language: Python - Size: 13.7 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

yang5hi/Data-Journalism-and-D3
I used JavaScript to create charts, graphs, and interactive elements to help readers understand the health risks facing particular demographics.
Language: JavaScript - Size: 5.81 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

wendellbarcelos/Investigating_Netflix_Movies
Investigando Filmes da Netflix - projeto do curso Datacamp
Language: Jupyter Notebook - Size: 1.27 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

BradleySabin/Interactive_Scatter_Plot_GWG2021
interactive scatterplot on 2021 version of https://www.payscale.com/data/gender-pay-gap
Language: JavaScript - Size: 10.7 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

mpadgett004/D3-challenge
Using data from US Census Bureau, then using D3 to visualize in a way to be useful to the public.
Language: JavaScript - Size: 5.59 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

melissaschenk/d3-data-journalism
JavaScript and D3 were used to analyze and visualize 2014 U.S. Census Bureau and the Behavioral Risk Factor Surveillance System. The data set includes data on rates of income, obesity, poverty, etc. by state. MOE stands for "margin of error."
Language: CSS - Size: 14.9 MB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

ehtesham169/Internship
Code which I wrote during my internship at University of Engineering and Technology.
Language: Jupyter Notebook - Size: 79.1 KB - Last synced at: 10 months ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

alexarnold630/Whats_The_Weather_Like
Visualize the weather of 500+ cities across the world of varying distance from the equator utilizing a simple Python library and the OpenWeatherMap API.
Language: Jupyter Notebook - Size: 3.35 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

annanya-mathur/Location-of-International-Space-Station-using-API
Here ,Application Programming Interface is used along with plotly and pandas inbuilt library in python. Scatter-geo function is used to locate longitude and latitude of international space station.
Language: Jupyter Notebook - Size: 136 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

aahmadnejad/iris_classification
iris Dataset classification (pre-processing, Scaling, and plotting ) // AdaBoost and Random forest
Language: Jupyter Notebook - Size: 36.1 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

ubco-mds-2020-labs/suicide-dashboard
An interactive dashboard to throw some insights on the suicides trends in 101 countries across the globe
Language: R - Size: 2.89 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

Anumala89/data-journalism-and-d3
Create a scatter plot between data variables
Language: JavaScript - Size: 2.62 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

plqualls/D3-Challenge
The D3-Challenge consists of constructing an interactive scatter plot displaying relationships between factors shaping people's lives, such as rates of income, obesity, poverty, and more.
Language: JavaScript - Size: 16.6 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

MaxBrowning/plotly-challenge
Dashboard to display data for each test subject, including tabular and plotted data.
Language: JavaScript - Size: 117 KB - Last synced at: 7 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
