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GitHub topics: boxplot

ostad-ai/Machine-Learning

This repository contains topics and codes related to Machine Learning and Data Science, especially in Python

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milliams/plotlib

Data plotting library for Rust

Language: Rust - Size: 285 KB - Last synced at: 1 day ago - Pushed at: over 2 years ago - Stars: 468 - Forks: 26

piotrmurach/tty-box

Draw various frames and boxes in your terminal window

Language: Ruby - Size: 208 KB - Last synced at: 1 day ago - Pushed at: almost 3 years ago - Stars: 188 - Forks: 14

helgasoft/echarty

Minimal R/Shiny Interface to ECharts.js

Language: R - Size: 42 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 92 - Forks: 3

vladislavpyatnitskiy/financial.data.visualisation

Useful graphs for financial projects

Language: R - Size: 10.5 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

fs23yayan/VisualisasiHasilClustering-BoxPlot

Visualisasi Hasil Clustering - Box Plot for Data Science in Marketing : Customer Segmentation with Python - Part 2

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datahint-eu/vizor-echarts

Blazor Apache ECharts library

Language: C# - Size: 2.9 MB - Last synced at: 27 days ago - Pushed at: 3 months ago - Stars: 44 - Forks: 13

datavisyn/chartjs-chart-box-and-violin-plot πŸ“¦

Chart.js Box Plot addon

Language: JavaScript - Size: 892 KB - Last synced at: 8 days ago - Pushed at: over 3 years ago - Stars: 108 - Forks: 33

mths-andrade/brasileiro

AnΓ‘lise dos dados do Campeonato Brasileiro no atual formato.

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milaan9/12_Python_Seaborn_Module

Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. This article will walk through a few of the highlights and show how to use the new scatter and line plot functions for quickly creating very useful visualizations of data.

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TomKellyGenetics/vioplot

Development version of vioplot R package (CRAN maintainer)

Language: R - Size: 4.21 MB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 27 - Forks: 3

UBC-MDS/DSCI-532_2025_4_vdash

Welcome to VDash, an interactive dashboard that helps car buyers and professionals compare vehicles by performance, price, and key features with dynamic filters and visuals.

Language: Python - Size: 6.38 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 1

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.

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calvin-wirawan/INF4000

Visualisation of birth trends in England and Wales: Relation with age group, deprivation and country of birth

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sh4wnbk/numerical_data_bad_values

Identify hidden bad values in a dataset

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UBC-MDS/imdb_dashboard

IMDb movies dashboard to help producers plan their next movie.

Language: Python - Size: 25.7 MB - Last synced at: 4 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 2

macocci7/PHP-Boxplot

PHP-Boxplot creates boxplots using FrequencyTable.

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AhmetFurkanDEMIR/DatasetOperations

demir.ai Dataset Operations

Language: Python - Size: 293 KB - Last synced at: 25 days ago - Pushed at: over 3 years ago - Stars: 14 - Forks: 0

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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akngs/d3-boxplot

d3js box plot plugin

Language: JavaScript - Size: 583 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 23 - Forks: 2

sgratzl/boxplots

A simple boxplot Javascript library with various quantiles options (like R)

Language: TypeScript - Size: 7.42 MB - Last synced at: 10 days ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

avdaredevil/highcharts-chart

Polymer Element wrapper for highcharts library. Seamlessly create various types of charts from one element.

Language: JavaScript - Size: 4.34 MB - Last synced at: 23 days ago - Pushed at: 2 months ago - Stars: 96 - Forks: 25

dpgitaccount/Project---Hospital-Readmission-Analysis

The goal of this project is to build a predictive model to estimate the likelihood of a hospital readmission based on patient data. By identifying factors that contribute to readmissions, hospitals can optimize care and reduce costs associated with repeated visits.

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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

raffaeleav/crash-stat

An R script developed as a project for the Calcolo della ProbabilitΓ  Statistica e Matematica (Statistical and Mathematical Probability Calculation) course, part of the Computer Science Bachelor's Degree program at the University of Salerno

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sgratzl/chartjs-chart-boxplot

Chart.js Box Plots and Violin Plot Charts

Language: TypeScript - Size: 15 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 109 - Forks: 24

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.

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JoachimGoedhart/PlotsOfData

Shiny App for comparison of samples

Language: R - Size: 1000 KB - Last synced at: 5 months ago - Pushed at: about 1 year ago - Stars: 52 - Forks: 18

RoshniRanaDS27/Matplotlib_PymaceuticalsData_Visualization

Pymaceuticals Data Analysis and Visualization

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harmanveer-2546/Predicting-Schizophrenia-Disorder

The positive symptoms typical of schizophrenia – such as delusions, hallucinations or formal thought disorders – often first appear in an attenuated or transient form during the initial prodromal phase

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aarryasutar/Credit_EDA

This project focuses on cleaning and analyzing a loan application dataset to gain insights into the factors influencing loan defaults. Through systematic data cleaning, visualization, and merging with previous application data, it provides a robust foundation for further predictive modeling.

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AymanElsayeed/flask-ploltly

Building Plotly plots in Python, displaying those plots via Flask.

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anuragkhuntia/data-analysis-python-for-beginners

Data pre-processing of time-series dataset and statistical analysis using IQR, handling null values, removing outliers etc.

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HarseesKaur/Uber_Insights_and_Analysis

Analysis is executed on the Uber dataset along with extracted Interpretations by means of visualization techniques

Language: Python - Size: 24.4 KB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

lamia-datalover/Exploratory-Data-Analysis-EDA-

This repository contains EDA projects. The code for each project is provided, and the explanations can be found in the ReadMe.md file of each project !

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paulmelnikow/react-boxplot

Simple SVG box plots in React

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HellyModiKalpesh/matplotlib

This repository is created for purpose of data visualization.This contains matplotlib library use for visualizing data

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shubvats/Health-Data-Analysis-with-SAS

HealthAnalytics-SAS: Leveraging SAS Programming to Uncover Health Trends, Correlations, and Predictive Insights from Comprehensive Health Data Analysis.

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StrangeCoder1729/Movie_Analysis

Movie Data Analysis and Visualization

Language: R - Size: 55.7 KB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

npradaschnor/Fundamental-for-Data-Analysis-Project2018

A project focusing on box plot: summary of the history of the box plot and situations in which it used, and relevant terminology related to box plot. Then, the use of the box plot was demonstrated using data from INFOMAR.

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shwetapardhi/Assignment-2-set1-Q1-Basic-Statistic-Level-2

Plot the data, find the outliers and find out ΞΌ,Οƒ,Οƒ^2

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shwetapardhi/Assignment-1-Q12--Basic-Statistics-Level-1

Q12) Below are the scores obtained by a student in tests 34,36,36,38,38,39,39,40,40,41,41,41,41,42,42,45,49,56 Find mean, median, variance, standard deviation. What can we say about the student marks?

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sgratzl/vis-components πŸ“¦

WIP repository for react vis component helper

Language: TypeScript - Size: 196 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

arpitran/Matlplotlib

Box-Plot Bar Chart using Matplotlib

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UBC-MDS/trending_youtube_viz_R

Youtube Trend Dashboard - Find out what key characteristics make a particular youtube video land in the trending section

Language: R - Size: 33.7 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 1

milos-agathon/Inset-graph-within-map-in-R

In this tutorial, you'll learn how to re-create this map with an eye on using inset graphs within a map in R

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ChandraPrakash-Bathula/Apparel-Recommendations

This project implements a personalized apparel recommendation engine using content-based search with the Amazon API, NLTK, and Keras libraries.

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LABELLECANDIDO/EstatisticaEmPython

Projeto, desenvolvido para a disciplina de EstatΓ­stica da Faculdade Nova Roma, apresenta uma anΓ‘lise aprofundada de um conjunto de dados utilizando ferramentas do Python. O objetivo principal Γ© auxiliar no aprendizado e na aplicaΓ§Γ£o prΓ‘tica.

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tanviparmarrajput/DATA-CLAENING-DATA-VISUALIZATION

Data Cleaning and Data Visualization with python libraries like numpy , pandas, sklean,seaborn, matplotlib-pyplot

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muskanmi/data_analysis_python

Data analysis on students result dataset using python libraries.

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ConstantinoSchillebeeckx/distroplot

D3 violin, box and swarm plots

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TomKellyGenetics/vioplotx πŸ“¦

A development version of the vioplot R package. This has been migrated to "vioplot" as version 0.3.

Language: R - Size: 2.48 MB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 4 - Forks: 1

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.

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JobinJohan/DataViz

Big building data visualization: a visualization tool for the "Smart Living Lab"

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haniye6776/outlier-detection

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ShaikRiyazSandy/Basic-Statistics_Level-2

Assignment Advance Stats

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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

Jean-LucasLS/Regressao-Linear-1

Utilizando-se a tΓ©cnica de regressΓ£o linear, com o auxΓ­lio do framework scikit-learn, foram realizados dois projetos nos quais foram utilizados dois databases diferentes (um de consumo de cerveja, e outro do preΓ§o de imΓ³veis). Utlizando-se ambos, foi possΓ­vel prever o consumo de cerveja e o preΓ§o dos imΓ³veis, com base nas variΓ‘veis explanatΓ³rias.

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Jean-LucasLS/Regressao-Linear-2

Utilizando-se a tΓ©cnica de regressΓ£o linear, com o auxΓ­lio dos frameworks scikit-learn e statsmodel, foi possΓ­vel criar um modelo de prediΓ§Γ£o de preΓ§os de imΓ³veis, com base em variΓ‘veis explanatΓ³rias de um database.

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mohammad95labbaf/Outlier-Imbalanced-Fraud-Detection

The Credit Card Fraud Detection project uses statistical techniques and machine learning for identifying fraudulent transactions. It includes data preprocessing, outlier detection using Boxplots and Z-scores, and a decision tree model. Evaluation goes beyond accuracy, considering precision, recall, F1-score, and ROC AUC.

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phancykemunto/Exploratory-Data-Analysis-EDA-

Exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods. In this exercise, iris data was visualized using box plots, pairplot, subplot, and scatter plots for better comprehension of the dataset.

Language: Python - Size: 848 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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.

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Luiz-Fernando-Oliveira/explorando.R

Explorando a base de dados dslabs (homicΓ­dios nos EUA) com o R. Uma anΓ‘lise a partir de grΓ‘ficos e tabelas.

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alperbulbul1/Manim-BoxPlot

Box-plot template for Manim Animations

Language: Python - Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

vpfahad/Employee-Attrition-Rate

This Data set consists of information about an employee, There are attributes such as education level, experience level, age, salary, gender, department, degree, ratings, work ethics, current company working experience, job level, job role, attrition rate, employee id, employee satisfaction etc to take some serious important decisions for the company regarding the company.

Language: R - Size: 49.8 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

mritunjaysri28/Matplotlib

Matplotlib notes and examples

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thiagonazario/Project_AnaliseDespesasMarketing_Cohort

πŸ’» Neste Projeto com AnΓ‘lise de Cohort dos UsuΓ‘rios, meu foco estΓ‘ em desvendar padrΓ΅es atravΓ©s do comportamento dos usuΓ‘rios, registros de acesso e despesas. Exploro dados de janeiro de 2017 a dezembro de 2018, compreendendo os dados, pontos de conversΓ£o e dedicando identificar o valor do cliente para otimizar as despesas. πŸ“ˆπŸ’‘

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BalajiN743/Basic-Statictics-02

Solutions for the basic statictics problems

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BalajiN743/Basic-Statictics-lvl-1

Basic Statistics-01 Solution for Questions on Basic statistics

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Prem-98/Basic-statistics

Basic statistics

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joydowns/Cigarette

Project in R analyzing "Cigarette" dataset using libraries Ecdat, ggplot2, dplyr

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FrankLSilva/all-countries-dataviz

Data vizualitation and several graphs, based on the dataset: AllCountries.csv

Language: Python - Size: 54.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Prasee21/Case-Study

Case Study on Furniture dataset

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AbstractGeek/CategoricalScatterplot

[MATLAB] An improved box plot that shows the data-points along with the median and the quartiles.

Language: Matlab - Size: 61.5 KB - Last synced at: 12 months ago - Pushed at: over 6 years ago - Stars: 7 - Forks: 1

SheezaShabbir/Exploratory-Data-Analysis

Exploratory Data Analysis on Complex Data with Different plots Visualization

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SyncfusionExamples/Creating-a-Box-and-Whisker-Chart-for-Analyzing-the-Machine-Impact-Test

Creating a Box and Whisker Chart for Analyzing the Machine Impact Test

Language: C# - Size: 456 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 1 - Forks: 0

shubhambalyan/driver-telematics-data-analytics-using-visualization

The purpose of the Driver Telematics Data Analytics is to discover outliers in a data set of trips.

Language: Python - Size: 20.6 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

cityxdev/html-boxplot

A boxplot implemented with javascript and rendered with HTML and CSS

Language: JavaScript - Size: 183 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

emilymaitan/DAS_UE7 πŸ“¦

Programming assignment for the DAS (Data Analysis and Statistics) course.

Language: Java - Size: 43 KB - Last synced at: over 1 year ago - Pushed at: almost 9 years ago - Stars: 0 - Forks: 0

annaliselaplume/datavisualization

Fully reproducible annotated Rmarkdown code templates to create graphs using the ggplot2 package. Designed for those with minimal experience in R who want to make publication-ready graphs.

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sharmaroshan/FiveThirtyEight-Comics-Marvel-and-DC-

Comparison between Marvel and DC in terms of their Characters Popularity, their Gender, Hair Color, Eye Color, Character Alignment, Appearances, Launch day, names, etc. I have used Seaborn, matplotlib, networkx, and plotly to visualize Interactive plots

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sharmaroshan/Employee-Attrition-Rate

This Data set consists of information about an employee, There are attributes such as education level, experience level, age, salary, gender, department, degree, ratings, work ethics, current company working experience, job level, job role, attrition rate, employee id, employee satisfaction etc to take some serious important decisions for the company regarding the company.

Language: R - Size: 77.1 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

vaitybharati/Visualization-Mat_Seaborn

Visualization using Matplotlib and Seaborn

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vaitybharati/R_basics-homework-earthquake

R_basics- Earth Quake data

Language: R - Size: 1.95 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

vaitybharati/R_basics-homework-5_sept

R_basics - Visualizing Air Quality data

Language: R - Size: 1.95 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

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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vaitybharati/P06.-Seaborn-Visualization-Titanic

Seaborn Visualization on Titanic Dataset Visual exploration of different features on No. of people survived or otherwise Visualization using FacetGrid function, Lambda function and criterion function Visualization of subplots

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vaitybharati/P05.-Seaborn-Visualization

Strip Plot, Grouping with Strip Plot, Swarm Plot, Box and Violin Plot, placing plots together, Combining the plots, Joint Plot, Density Plot, Pair Plot

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vaitybharati/P08.-Box-Plot-Practice

Box Plot - using dataframe in pandas Inserting Minor and Major gridlines Deriving LQ, UQ, IQR, Upper Whisker and Lower Whisker length

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vaitybharati/Assignment-1-Q20-Basic-Statistics-Level-1-

Data _set: Cars.csv Calculate the probability of MPG of Cars for the below cases. MPG <- Cars$MPG a. P(MPG>38) b. P(MPG<40) c. P (20<MPG<50)

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vaitybharati/Assignment-2-Set1-Q1-Basic-Statistic-Level-2-

Plot the data, find the outliers and find out ΞΌ,Οƒ,Οƒ^2

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vaitybharati/Assignment-1-Q12-Basic-Statistics-Level-1-

Below are the scores obtained by a student in tests 34,36,36,38,38,39,39,40,40,41,41,41,41,42,42,45,49,56. Find mean, median, variance, standard deviation. What can we say about the student marks?

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vaitybharati/A6-Aczel-problems-practice-1-24-1-25-1-26-1-27-

24. TABLE 1–1 Boston Condominium Data Asking_Price Number_of_Bedrooms Number_of_Bathrooms Direction_Facing Washer/Dryer? Doorman? $709,000 2 1 E Y Y 812,500 2 2 N N Y 980,000 3 3 N Y Y 830,000 1 2 W N N 850,900 2 2 W Y N Data in 100 dollars: 7090, 8125, 9800, 8300, 8509

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vaitybharati/A13-Aczel-problems-practice-1-74-1-75-

Solution to Aczel problems practice (1-74, 1-75)

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vaitybharati/A12-Aczel-problems-practice-1-71-1-72-1-73-

Solution to Aczel problems practice (1-71, 1-72, 1-73)

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vaitybharati/A11-Aczel-problems-practice-1-66-1-67-1-68-1-69-1-70-

Solution to Aczel problems practice (1-66, 1-67, 1-68, 1-69, 1-70)

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ahmedaq/Making-elegant-Matlab-figures

A repository comprising multiple functions for making elegant publication-quality figures in MATLAB

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Vkakt/apartment_market_SPB

Π˜ΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ Π΄Π°Π½Π½Ρ‹Π΅ сСрвиса ЯндСкс.ΠΠ΅Π΄Π²ΠΈΠΆΠΈΠΌΠΎΡΡ‚ΡŒ, ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΠΈΡ‚ΡŒ Ρ€Ρ‹Π½ΠΎΡ‡Π½ΡƒΡŽ ΡΡ‚ΠΎΠΈΠΌΠΎΡΡ‚ΡŒ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² нСдвиТимости ΠΈ Ρ‚ΠΈΠΏΠΈΡ‡Π½Ρ‹Π΅ ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Ρ‹ ΠΊΠ²Π°Ρ€Ρ‚ΠΈΡ€

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a-bezm/Research-of-ads-for-the-sale-of-apartments

ΠžΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ Ρ€Ρ‹Π½ΠΎΡ‡Π½ΠΎΠΉ стоимости ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² нСдвиТимости, построСниС Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠΉ систСмы для отслСТивания Π°Π½ΠΎΠΌΠ°Π»ΠΈΠΉ ΠΈ ΠΌΠΎΡˆΠ΅Π½Π½ΠΈΡ‡Π΅ΡΡ‚Π²Π°.

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kk289/IBM-Data-Science

This repo consists of all courses of IBM - Data Science Professional Certificate, providing with techniques covering a wide array of data science topics including open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.

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