umu2509 Goto Github PK

analysis_climate

belly_button_biodiversity

Use Flask to design an API for your dataset and to serve the HTML and JavaScript required for your dashboard page. Note: We recommend using the sqlite database file and SQLAlchemy inside of your Flask application code, but you are permitted to read the CSV data directly into Pandas DataFrames

heroes_of_pymoli

Now, it's time to take what you've learned about Python Pandas and apply it to new situations. Once again, it's your choice which you choose. Just be sure to give it your all -- as the skills you hone will become powerful tools in your data analytics tool belt.

heroku_bellebutton

lamboi.github.io

mission_to_mars

my_first_twitter_bot

pyber_ride

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.

python_challenge

In this challenge, the tasked with creating a Python script for analyzing the financial records of your company. Two sets of revenue data where given, which are:(budget_data_1.csv and budget_data_2.csv). Each dataset is composed of two columns: Date and Revenue

severeweatherviz

This project is to analyze severe weather in the United States between 2010-2016.

sql_sakila

test_bigfoot

test_branching

This project is based on the Housing Crisis in Austin.

test_pets_pals

twitter_sentiment

Twitter has become a wildly sprawling jungle of information—140 characters at a time. Somewhere between 350 million and 500 million tweets are estimated to be sent out _per day_. With such an explosion of data, on Twitter and elsewhere, it becomes more important than ever to tame it in some way, to concisely capture the essence of the data.

ufo_sightings

Create a basic HTML web page. Using the ufo dataset provided in the form of a JavaScript object, write code that appends a table to your web page and then adds new rows of data for each UFO sighting. Make sure you have a column for date/time, city, state, country, shape, and comment at the very least. Add an input tag to your HTML document and write JavaScript code that will search through the date/time column to find rows that match user input.

umu2509.github.io

My basic html github

visualization_earthquake

weather_cities

web_dashboard