divyatv Goto Github PK

assignments

brickseekenhancer_fullstackapplication

careerservices

chicagocrimedataanalysis_project1

divyatv.github.io

Hosting a personal web page.

employeedataanalysis_sqlbased

SQL homework 1 - learn to join tables

equatorweather.github.io

etl_process_usjobopennings

etl project source code will go here- Kevin, Harsha and Divya

frontendvisualization_bellybuttonbiodiversity

hawaii_climate_analysis

heroesofpymoli

04-Pandas Assignment

homework

This is where I keep my homework

jira_pkg

machinelearning_chicagocrime

Machine learning on Chicago crime dataset

pyber_matlplotlib

## Option 1: Pyber  The ride sharing bonanza continues! Seeing the success of notable players like Uber and Lyft, you've decided to join a fledgling ride sharing company of your own. In your latest capacity, you'll be acting as Chief Data Strategist for the company. In this role, you'll be expected to offer data-backed guidance on new opportunities for market differentiation. You've since been given access to the company's complete recordset of rides. This contains information about every active driver and historic ride, including details like city, driver count, individual fares, and city type. Your objective is to build a [Bubble Plot](https://en.wikipedia.org/wiki/Bubble_chart) that showcases the relationship between four key variables: * Average Fare ($) Per City * Total Number of Rides Per City * Total Number of Drivers Per City * City Type (Urban, Suburban, Rural) In addition, you will be expected to produce the following three pie charts: * % of Total Fares by City Type * % of Total Rides by City Type * % of Total Drivers by City Type As final considerations: * You must use the Pandas Library and the Jupyter Notebook. * You must use the Matplotlib library. * You must include a written description of three observable trends based on the data. * You must use proper labeling of your plots, including aspects like: Plot Titles, Axes Labels, Legend Labels, Wedge Percentages, and Wedge Labels. * Remember when making your plots to consider aesthetics! * You must stick to the Pyber color scheme (Gold, SkyBlue, and Coral) in producing your plot and pie charts. * When making your Bubble Plot, experiment with effects like `alpha`, `edgecolor`, and `linewidths`. * When making your Pie Chart, experiment with effects like `shadow`, `startangle`, and `explosion`. * See [Starter Workbook](Pyber/pyber_starter.ipynb) for a reference on expected format.

python-challenge

**PyBank** and **PyPoll**

pythonapi_weatheranalysis

Python script to visualize the weather of 500+ cities across the world of varying distance from the equator

pythonflask-jobboard

Build a Job Board with Python & Flask

resume

sample-gcp-nlp-flask

symmetrical-winner-python

ufo-sightings_javascript

vba_assignment

VBA assignment will go here

webscrapping_flask_etl_missiontomars

webvisualizationdashboard

Web Visualization Dashboard