Nattha-mook/Analyze-box-office-data-with-seaborn-python

This project compared film revenue to budget, distribution of langauges used across films and Do film descriptions impact revenue or not. Data set is from TMDB Box Office.

Language: Jupyter Notebook - Size: 542 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

thaishagler/Ecommerce-NoSQL

Language: Jupyter Notebook - Size: 442 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ash-005/POKEMON-EXPLANATORY-DATA-ANALYSIS-PROJECT

Pokemon Explanatory Data Analysis

Language: Jupyter Notebook - Size: 699 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

dsherbini/data-viz-python

Data visualization in Python with matplotlib and seaborn packages.

Language: Python - Size: 150 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

diego-torres-coder/Analise-Descritiva-de-Dados

Análise Descritiva de Dados da PNAD 2015

Language: Jupyter Notebook - Size: 1.68 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

ashwani-kushwah/SalesAnalysisPython

This project focuses on analyzing Diwali sales data using Python's data manipulation and visualization libraries - pandas, matplotlib, and seaborn.

Language: Jupyter Notebook - Size: 1.39 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

shivamverma26/Diwali_Sales_Analysis

Using Python libraries in a Jupyter Notebook, this project explores Diwali sales data, revealing valuable insights: Buyer Dynamics: Females drive sales, showcasing higher purchasing power than males. Age Impact: The 26-35 age group, primarily females, contributes significantly.Marital Influence: Married women exhibit strong purchasing potential.

Language: Jupyter Notebook - Size: 1.1 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Vigneswarsiddu/Important-Python-Libraries-for-Machine-Learning

Complete Libraries on Numpy, Pandas, Matplotlib, Seaborn in Python for Machine Learning Author: K. VIGNESWAR SIDDU

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dheepika-chokkalingam/Online-Grocery-Store-Analysis-Using-Python

Uncovering more information about the company's sales patterns to derive insights and suggest marketing strategies for better segmentation using Python.

Language: Jupyter Notebook - Size: 2.35 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

PruMol/Black-Friday-Sales-Basic-Data-Analysis-

This Github repository focuses on conducting basic data analysis on 'Black Friday Sales' data. It provides valuable insights into various aspects like customer demographics, target audiences, popular products, purchasing patterns and potentially other interesting insights.

Language: Jupyter Notebook - Size: 6.78 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

migotron/Data-Analysis-Tool-Project

The Data Analysis Tool is a Python program that provides basic data analysis features for a given dataset.

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

AndreMenezesDS/house_rocket_sales_insights

Data analysis for House Rocket Sales Company database, including insights for sales optimization.

Language: Jupyter Notebook - Size: 11 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0