lenamax2355's starred repositories

Seaborn-Tutorial

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

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matplotlib-cheatsheet

Matplotlib 3.1 cheat sheet.

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cutecharts.py

📉 Hand drawing style charts library for Python

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pyecharts-users-cases

pyecharts 示例文件

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mplcyberpunk

"Cyberpunk style" for matplotlib plots

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AnatomyOfMatplotlib

Anatomy of Matplotlib -- tutorial developed for the SciPy conference

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ggplotAssist

version 0.1.4

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echarts-examples

Examples of Apache ECharts

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data-cleaning-101

Data Cleaning Libraries with Python

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vega-desktop

App for viewing visualizations created in Vega or Vega-lite

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dziban

Context-Aware, Recommender-Powered Visualization Authoring

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visualization-curriculum

A data visualization curriculum of interactive notebooks.

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awesome-dataviz

:chart_with_upwards_trend: A curated list of awesome data visualization libraries and resources.

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cjworkbench

The data journalism platform with built in training

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ydata-profiling

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

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awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

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Pokemon-EDA-and-Visualization

Pokemon EDA (Exploratory Data Analysis) and data Visualization

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EDA-of-Pokemon-Dataset

Exploratory Data analysis for Pokemon Dataset

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Pokemon-Dataset-EDA

Learning Pandas through Exploratory Data Analysis on the famous Pokemon dataset.

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Fraud-Detection-Credit-Card-Account-Origination

This project commissions to examine the 100,000 credit card application data, detect abnormality and potential fraud in the dataset. All data manipulation and analysis are conducted in R. Featured analysis methods include Principal Component Analysis (PCA), Heuristic Algorithm and Autoencoder.

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german-credit

German credit fraud data analysis and prediction

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Growth_Analysis

Analyze business growth by measuring popular Metrics in Python.

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Data-Analysis-Project

Performing data analysis on 2 datasets in Python, to solve a fictional business problem

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Data-Analysis-

Analyzing, Visualizing different real world datasets to answer some business questions using python pandas library.

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BA-Academic-Projects

Business analytics, data analysis projects and practices.

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python_data_analysis

Introduction to Data Analysis with Python for UW Foster School of Business

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Yelp-Restaurant-Data-Analysis

The purpose of our study is to utilize data-driven methods in analyzing the crucial factors contributing towards the success of restaurants and thus provide data-science solutions to restaurant owners to help them to improve their business.

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pandas_cheatsheet

A downloadable pdf containing summary of frequently used pandas operations.

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Exploratory-Business-Analytics

Performed ‘Exploratory Data Analysis’ on the provided dataset to try to find out the weak areas where you could work to make more profit.

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