Weather analysis with Python, SQLite, SQLAlchemy, and Flask

Overview

Surf's Up

Weather analysis with Python, SQLite, SQLAlchemy, and Flask

Overview

The purpose of this analysis was to examine weather trends (precipitation, temperature) in "June and December in Oahu, in order to determine if the surf and ice cream shop business is sustainable year-round." In order to do that we:

  • accessed meteorological data in an SQLite file;
  • wrote queries to examine temperature data collected in the months of June and December;
  • calculated summary statistics (especially min, max, and average temperatures collected).

Results

The data collected presented a pretty ideal location for a year-round surf-and-ice cream business.

June Temp Stats December Temp Stats

  • Summer and winter average temps differ by less than 4 degrees. This shows that the year-round weather isn't highly variable, and it's rarely too cold for a scoop of mint-chocolate chip and some tight curls.

Temperature Observations Frequency

  • Most temperature observations ranged within about 4 degrees on either side of this average. This says that the majority days are within close range of the average, and that the average temp isn't rare weather. Not only are you unlikely to encounter freezing waves, but your double-scoop cone of rocky road is also unlikely to melt before you can eat it.

Three Years of rainfall data

  • Less than 3/4 of daily rainfall measurements, over a three year period, show less than 0.14 inches. This data, modified from work done in the module, shows that average rainfall is fairly light. This means that you don't have to worry about bad weather at the beach or your triple-scoop sundae having an unwanted topping of rain drops.

Summary

In short, Oahu is a great place to invest in a surf-and-ice cream shop. Why didn't I think of this? The weather is pleasant and moderate year-round. The lows are rarely too low and the highs are rarely too high. And while it may occasionally experience torrential downpours, most days are clear.

If one wanted to expand this analysis with more data, I would suggest collecting:

  • average hours of sunshine per day;
  • average wind speeds on the coast. These measurements would help determine quality of surfing and how many optimal hours of operation the shop could have.
Owner
Art Tucker
Art Tucker
A lightweight interface for reading in output from the Weather Research and Forecasting (WRF) model into xarray Dataset

xwrf A lightweight interface for reading in output from the Weather Research and Forecasting (WRF) model into xarray Dataset. The primary objective of

National Center for Atmospheric Research 43 Nov 29, 2022
Exploratory Data Analysis of the 2019 Indian General Elections using a dataset from Kaggle.

2019-indian-election-eda Exploratory Data Analysis of the 2019 Indian General Elections using a dataset from Kaggle. This project is a part of the Cou

Souradeep Banerjee 5 Oct 10, 2022
songplays datamart provide details about the musical taste of our customers and can help us to improve our recomendation system

Songplays User activity datamart The following document describes the model used to build the songplays datamart table and the respective ETL process.

Leandro Kellermann de Oliveira 1 Jul 13, 2021
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.

MetPy MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data. MetPy follows semantic versioni

Unidata 971 Dec 25, 2022
talkbox is a scikit for signal/speech processing, to extend scipy capabilities in that domain.

talkbox is a scikit for signal/speech processing, to extend scipy capabilities in that domain.

David Cournapeau 76 Nov 30, 2022
Methylation/modified base calling separated from basecalling.

Remora Methylation/modified base calling separated from basecalling. Remora primarily provides an API to call modified bases for basecaller programs s

Oxford Nanopore Technologies 72 Jan 05, 2023
PyChemia, Python Framework for Materials Discovery and Design

PyChemia, Python Framework for Materials Discovery and Design PyChemia is an open-source Python Library for materials structural search. The purpose o

Materials Discovery Group 61 Oct 02, 2022
CubingB is a timer/analyzer for speedsolving Rubik's cubes, with smart cube support

CubingB is a timer/analyzer for speedsolving Rubik's cubes (and related puzzles). It focuses on supporting "smart cubes" (i.e. bluetooth cubes) for recording the exact moves of a solve in real time.

Zach Wegner 5 Sep 18, 2022
Intercepting proxy + analysis toolkit for Second Life compatible virtual worlds

Hippolyzer Hippolyzer is a revival of Linden Lab's PyOGP library targeting modern Python 3, with a focus on debugging issues in Second Life-compatible

Salad Dais 6 Sep 01, 2022
Flood modeling by 2D shallow water equation

hydraulicmodel Flood modeling by 2D shallow water equation. Refer to Hunter et al (2005), Bates et al. (2010). Diffusive wave approximation Local iner

6 Nov 30, 2022
Full ELT process on GCP environment.

Rent Houses Germany - GCP Pipeline Project: The goal of the project is to extract data about house rentals in Germany, store, process and analyze it u

Felipe Demenech Vasconcelos 2 Jan 20, 2022
NumPy and Pandas interface to Big Data

Blaze translates a subset of modified NumPy and Pandas-like syntax to databases and other computing systems. Blaze allows Python users a familiar inte

Blaze 3.1k Jan 05, 2023
Pypeln is a simple yet powerful Python library for creating concurrent data pipelines.

Pypeln Pypeln (pronounced as "pypeline") is a simple yet powerful Python library for creating concurrent data pipelines. Main Features Simple: Pypeln

Cristian Garcia 1.4k Dec 31, 2022
This repository contains some analysis of possible nerdle answers

Nerdle Analysis https://nerdlegame.com/ This repository contains some analysis of possible nerdle answers. Here's a quick overview: nerdle.py contains

0 Dec 16, 2022
Python Project on Pro Data Analysis Track

Udacity-BikeShare-Project: Python Project on Pro Data Analysis Track Basic Data Exploration with pandas on Bikeshare Data Basic Udacity project using

Belal Mohammed 0 Nov 10, 2021
SparseLasso: Sparse Solutions for the Lasso

SparseLasso: Sparse Solutions for the Lasso Introduction SparseLasso provides a Scikit-Learn based estimation of the Lasso with cross-validation tunin

Gabriel Okasa 1 Nov 08, 2021
Important dataframe statistics with a single command

quick_eda Receiving dataframe statistics with one command Project description A python package for Data Scientists, Students, ML Engineers and anyone

Sven Eschlbeck 2 Dec 19, 2021
Desafio 1 ~ Bantotal

Challenge 01 | Bantotal Please read the instructions for the challenge by selecting your preferred language below: Español Português License Copyright

Maratona Behind the Code 44 Sep 28, 2022
Unsub is a collection analysis tool that assists libraries in analyzing their journal subscriptions.

About Unsub is a collection analysis tool that assists libraries in analyzing their journal subscriptions. The tool provides rich data and a summary g

9 Nov 16, 2022
Python ELT Studio, an application for building ELT (and ETL) data flows.

The Python Extract, Load, Transform Studio is an application for performing ELT (and ETL) tasks. Under the hood the application consists of a two parts.

Schlerp 55 Nov 18, 2022