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GitHub topics: groupby-method

Thamirisq/data_analysis_culinary_journey

Project to analyze key information from Culinary Jorney, a marketplace Company, and develop an initial strategy to lead the entire team effectively.

Language: Python - Size: 538 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

lydiahmorah/Pizza-Sales

Utilize SQL to conduct a comprehensive analysis of pizza sales data, aiming to uncover patterns, trends, and insights that will inform strategic decision-making and enhance overall business efficiency.

Size: 503 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

spacebakery/AB-Testing-Shoefly

DS Foundations II | A/B Testing for ShoeFly.com

Language: Jupyter Notebook - Size: 43.9 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sjtechdev/fastgrouper

Fast groupby-apply operations in python.

Language: Python - Size: 32.2 KB - Last synced at: 20 days ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

jessislearning/demographic-data-analyzer

Data Analysis with Python project from freeCodeCamp (2 of 5)

Language: Python - Size: 447 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

RaThorat/set-index-and-groupby

A better way to summerize a table information in pandas

Language: Python - Size: 10.7 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

vaitybharati/P29.-Unsupervised-ML---Hierarchical-Clustering-Univ.-

Unsupervised-ML---Hierarchical-Clustering-University Data. Import libraries, Import dataset, Create Normalized data frame (considering only the numerical part of data), Create dendrograms, Create Clusters, Plot Clusters.

Language: Jupyter Notebook - Size: 45.9 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

vaitybharati/P02.-Pandas-2

Understanding Pandas, Groupby Function, Filtering Function

Language: Jupyter Notebook - Size: 9.77 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

vaitybharati/Assignment-07-DBSCAN-Clustering-Crimes-

Assignment-07-DBSCAN-Clustering-Crimes. Perform Clustering for the crime data and identify the number of clusters formed and draw inferences.

Language: Jupyter Notebook - Size: 23.4 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

Sajidmoh/pandas_groupby

Pandas groupby method used to extract data from tips dataset

Language: Jupyter Notebook - Size: 6.84 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

TulipAggarwal/Sale-Analyser

This Project aims at analysing 12 months’ worth of sales data containing hundreds of thousands of electronics store purchases broken down by month, product type, cost, purchase address, etc.

Language: Jupyter Notebook - Size: 5.94 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

lingumd/PyBer_Analysis

Created summary DataFrame of ride-sharing data by city type using Python and multiple-line graph of weekly fares by city type using Pandas and Matplotlib.

Language: Jupyter Notebook - Size: 718 KB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

PatilSukanya/Assignment-07-Clustering-Q2-Crime

Used libraries and functions as follows:

Language: Jupyter Notebook - Size: 102 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

jmishra01/PortlandOregonHousePricesPrediction

Prediction of house price using Linear Regression Supervised Machine learning Algorithm

Language: Jupyter Notebook - Size: 232 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

Develop-Packt/A-Deep-Dive-into-Data-Wrangling-with-Python

Perform DataFrame operations in Pandas for a more in-depth look at data wrangling in practice

Language: Jupyter Notebook - Size: 1.42 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1