box-plot
There are 57 repositories under box-plot topic.
stefan-schroedl/plotluck
R tool for automated creation of ggplots. Examines one, two, or three variables and creates, based on their characteristics, a scatter, violin, box, bar, density, hex or spine plot, or a heat map. Also automates handling of observation weights, log-scaling of axes, reordering of factor levels, and overlays of smoothing curves and median lines.
nitoloz/salary-report
Salary report visualization with D3.js :bar_chart: :moneybag:
sharmaroshan/Online-Shoppers-Purchasing-Intention
In this data set we have perform classification or clustering and predict the intention of the Online Customers Purchasing Intention. The data set was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period.
yangheng95/metric-visualizer
For easy metric logging and visualization
AYSE-DUMAN/SEABORN-TUTORIAL
Relational Plot, Two Dimensional Plot, Scatter Plot, Pair Plot, Faceted Plot, Box Plot, Bar Graph, and Density Plot
Tarun-Kamboj/Data_Visualization_with_Python
Graphs, plots and maps made using python.
adlerosn/mininet-n-ryu-routing-algorithm-comparator
A bunch of scripts and files that describe topology creation, the topologies, the testing data, real-time graph rendering, table creation and chart creation.
absnaik810/DataMining
Data Mining Project: Classification of the Car Evaluation Dataset.
BhaswatiRoy/Visualization-DataShow
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
adalbertobrant/macd
Estudando sobre o uso do streamlit com geração de gráficos e dados da B3
aneeshmurali-n/ML_Bangalore_House_Price_Analysis
This project focusing on statistical analysis to understand and prepare data for potential machine learning applications. The dataset house_price.csv includes property prices in Bangalore. The analysis aims to perform exploratory data analysis (EDA), detect and handle outliers, check data distribution and normality, and analyze correlations.
bstevens00/Data-Science-Portfolio
A Data Science Portfolio for potentially interested employers and recruiters.
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.
risarora/ML_recipes.md
A collection of working snippets used for machine learning related tasks.
ShishirShekhar/glass_type_app
This is Glass Type prediction web app
srgx/Miscellaneous
Various small programs: barnsley fern, game of life, christmas tree, langton's ant, bean machine, etc.
vaitybharati/A14-Aczel-problems-practice-1-76-1-77-
The following table shows changes in bad loans and in provisions for bad loans, from 2005 to 2006, for 19 lending institutions. Verify the reported averages, and find the medians. Which measure is more meaningful, in your opinion? Also find the standard deviation and identify outliers for change in bad loans and change in provision for bad loans
vaitybharati/A15-Aczel-problems-practice-1-78-1-79-
Solution to Aczel problems practice (1-78, 1-79)
YogeshGadade/Analytics
Exploring the Data Cosmos: Journey Through Analytical Insights 📊🔍
ftmoztl/EDA-data-visualization
Exploratory Data Analysis and Visualization of Google Play Store Dataset
JudyNgn/DA01_SQL
Here includes my SQL journey from beginning and any further progress
rutendofortunate/Learning-Matplotlib-1
(21/02/24)Matplotlib Tutorial on Jupterlab by Keith Galli on YouTube(freecodecamp)
theiturhs/House-Price-Prediction-using-ML-Regression-models
This notebook is about data visualization, pre-processing the data and selecting regression model out of different regression model based on the accuracy given on validation data.
ahmedsamir45/page_view-_time_series_visualizer
line plot bar plot and box plot
bruhu/lab-eda-univariate
week 5, day 1 lab - EDA univariate: explores product attributes such as categories, pricing, and ratings on Amazon UK. Using univariate analysis techniques, the project guides you through frequency tables, measures of centrality and dispersion, and insightful visualizations to uncover business trends for product positioning and pricing strategies.
maheera421/Matplotlib
Exploring the implementation of plots in matplotlib