Summary data in a more desirable way.
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Updated
Feb 10, 2018 - Jupyter Notebook
Summary data in a more desirable way.
all seequel queries are all available here
Creating a summary DataFrame of ride-sharing data by city type and using Pandas and Matplotlib to create a multiple-line graph that shows the total weekly fares for each city type.
Exploring a versatile assortment of questions and challenges in this GitHub repository, covering a spectrum from basic to advanced topics. The collection comprises mathematical operators, strings, conditional and iterative statements, Lists, Tuple, Pandas, and more. Dive in folks.
Encoding string by grouping repeated letters with itertool library
Coursework for Visual Analytics @ RIT [ISTE 782]
The PyBer Analysis repo contains an analysis of ridesharing and city data using Python, NumPy, Matplotlib, and SciPy by creating line charts, bar charts, scatter plots, bubble charts, pie charts, and box-and-whisker plots. Using Pandas DataFrames and groupby, pivot, and resample functions, the data has been analyzed to determine total rides, tot…
A repository with my DataCamp Python project practice.
As a Customer Insights Analyst for 'The General Store' Analysed the data sitting in different tables to find out crucial information about customers so as to provide to the marketing team.
A directory containing some of the useful utility functions.
Pandas operation and some examples.
SQLQueryHub is a comprehensive collection of SQL queries covering various skill levels and topics. From beginners to advanced users, this repository offers a wide range of queries to help you master SQL concepts and enhance your database querying skills.
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