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
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.

Stock Statistics/Indicators Calculation Helper VERSION: 0.3.2 Introduction Supply a wrapper StockDataFrame based on the pandas.DataFrame with inline s

Cedric Zhuang 1.1k Dec 28, 2022
Display the behaviour of a realtime program with a scope or logic analyser.

1. A monitor for realtime MicroPython code This library provides a means of examining the behaviour of a running system. It was initially designed to

Peter Hinch 17 Dec 05, 2022
Hg002-qc-snakemake - HG002 QC Snakemake

HG002 QC Snakemake To Run Resources and data specified within snakefile (hg002QC

Juniper A. Lake 2 Feb 16, 2022
wikirepo is a Python package that provides a framework to easily source and leverage standardized Wikidata information

Python based Wikidata framework for easy dataframe extraction wikirepo is a Python package that provides a framework to easily source and leverage sta

Andrew Tavis McAllister 35 Jan 04, 2023
Implementation in Python of the reliability measures such as Omega.

OmegaPy Summary Simple implementation in Python of the reliability measures: Omega Total, Omega Hierarchical and Omega Hierarchical Total. Name Link O

Rafael Valero Fernández 2 Apr 27, 2022
Fit models to your data in Python with Sherpa.

Table of Contents Sherpa License How To Install Sherpa Using Anaconda Using pip Building from source History Release History Sherpa Sherpa is a modeli

134 Jan 07, 2023
Data Science Environment Setup in single line

datascienv is package that helps your to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

Ashish Patel 55 Dec 16, 2022
A neural-based binary analysis tool

A neural-based binary analysis tool Introduction This directory contains the demo of a neural-based binary analysis tool. We test the framework using

Facebook Research 208 Dec 22, 2022
Containerized Demo of Apache Spark MLlib on a Data Lakehouse (2022)

Spark-DeltaLake-Demo Reliable, Scalable Machine Learning (2022) This project was completed in an attempt to become better acquainted with the latest b

8 Mar 21, 2022
In this tutorial, raster models of soil depth and soil water holding capacity for the United States will be sampled at random geographic coordinates within the state of Colorado.

Raster_Sampling_Demo (Resulting graph of this demo) Background Sampling values of a raster at specific geographic coordinates can be done with a numbe

2 Dec 13, 2022
This repo contains a simple but effective tool made using python which can be used for quality control in statistical approach.

📈 Statistical Quality Control 📉 This repo contains a simple but effective tool made using python which can be used for quality control in statistica

SasiVatsal 8 Oct 18, 2022
[CVPR2022] This repository contains code for the paper "Nested Collaborative Learning for Long-Tailed Visual Recognition", published at CVPR 2022

Nested Collaborative Learning for Long-Tailed Visual Recognition This repository is the official PyTorch implementation of the paper in CVPR 2022: Nes

Jun Li 65 Dec 09, 2022
Randomisation-based inference in Python based on data resampling and permutation.

Randomisation-based inference in Python based on data resampling and permutation.

67 Dec 27, 2022
Validation and inference over LinkML instance data using souffle

Translates LinkML schemas into Datalog programs and executes them using Souffle, enabling advanced validation and inference over instance data

Linked data Modeling Language 7 Aug 07, 2022
A script to "SHUA" H1-2 map of Mercenaries mode of Hearthstone

lushi_script Introduction This script is to "SHUA" H1-2 map of Mercenaries mode of Hearthstone Installation Make sure you installed python=3.6. To in

210 Jan 02, 2023
Exploratory data analysis

Exploratory data analysis An Exploratory data analysis APP TAPIWA CHAMBOKO 🚀 About Me I'm a full stack developer experienced in deploying artificial

tapiwa chamboko 1 Nov 07, 2021
Spaghetti: an open-source Python library for the analysis of network-based spatial data

pysal/spaghetti SPAtial GrapHs: nETworks, Topology, & Inference Spaghetti is an open-source Python library for the analysis of network-based spatial d

Python Spatial Analysis Library 203 Jan 03, 2023
Business Intelligence (BI) in Python, OLAP

Open Mining Business Intelligence (BI) Application Server written in Python Requirements Python 2.7 (Backend) Lua 5.2 or LuaJIT 5.1 (OML backend) Mong

Open Mining 1.2k Dec 27, 2022
Picka: A Python module for data generation and randomization.

Picka: A Python module for data generation and randomization. Author: Anthony Long Version: 1.0.1 - Fixed the broken image stuff. Whoops What is Picka

Anthony 108 Nov 30, 2021
Very basic but functional Kakuro solver written in Python.

kakuro.py Very basic but functional Kakuro solver written in Python. It uses a reduction to exact set cover and Ali Assaf's elegant implementation of

Louis Abraham 4 Jan 15, 2022