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
Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.

Sensitivity Analysis Library (SALib) Python implementations of commonly used sensitivity analysis methods. Useful in systems modeling to calculate the

SALib 663 Jan 05, 2023
An ETL Pipeline of a large data set from a fictitious music streaming service named Sparkify.

An ETL Pipeline of a large data set from a fictitious music streaming service named Sparkify. The ETL process flows from AWS's S3 into staging tables in AWS Redshift.

1 Feb 11, 2022
AWS Glue ETL Code Samples

AWS Glue ETL Code Samples This repository has samples that demonstrate various aspects of the new AWS Glue service, as well as various AWS Glue utilit

AWS Samples 1.2k Jan 03, 2023
TheMachineScraper πŸ±β€πŸ‘€ is an Information Grabber built for Machine Analysis

TheMachineScraper πŸ±β€πŸ‘€ is a tool made purely for analysing machine data for any reason.

doop 5 Dec 01, 2022
Python package to transfer data in a fast, reliable, and packetized form.

pySerialTransfer Python package to transfer data in a fast, reliable, and packetized form.

PB2 101 Dec 07, 2022
peptides.py is a pure-Python package to compute common descriptors for protein sequences

peptides.py Physicochemical properties and indices for amino-acid sequences. πŸ—ΊοΈ Overview peptides.py is a pure-Python package to compute common descr

Martin Larralde 32 Dec 31, 2022
The lastest all in one bombing tool coded in python uses tbomb api

BaapG-Attack is a python3 based script which is officially made for linux based distro . It is inbuit mass bomber with sms, mail, calls and many more bombing

59 Dec 25, 2022
Office365 (Microsoft365) audit log analysis tool

Office365 (Microsoft365) audit log analysis tool The header describes it all WHY?? The first line of code was written long time before other colleague

Anatoly 1 Jul 27, 2022
InDels analysis of CRISPR lines by NGS amplicon sequencing technology for a multicopy gene family.

CRISPRanalysis InDels analysis of CRISPR lines by NGS amplicon sequencing technology for a multicopy gene family. In this work, we present a workflow

2 Jan 31, 2022
Data Scientist in Simple Stock Analysis of PT Bukalapak.com Tbk for Long Term Investment

Data Scientist in Simple Stock Analysis of PT Bukalapak.com Tbk for Long Term Investment Brief explanation of PT Bukalapak.com Tbk Bukalapak was found

Najibulloh Asror 2 Feb 10, 2022
Udacity - Data Analyst Nanodegree - Project 4 - Wrangle and Analyze Data

WeRateDogs Twitter Data from 2015 to 2017 Udacity - Data Analyst Nanodegree - Project 4 - Wrangle and Analyze Data Table of Contents Introduction Proj

Keenan Cooper 1 Jan 12, 2022
An orchestration platform for the development, production, and observation of data assets.

Dagster An orchestration platform for the development, production, and observation of data assets. Dagster lets you define jobs in terms of the data f

Dagster 6.2k Jan 08, 2023
Flenser is a simple, minimal, automated exploratory data analysis tool.

Flenser Have you ever been handed a dataset you've never seen before? Flenser is a simple, minimal, automated exploratory data analysis tool. It runs

John McCambridge 79 Sep 20, 2022
TextDescriptives - A Python library for calculating a large variety of statistics from text

A Python library for calculating a large variety of statistics from text(s) using spaCy v.3 pipeline components and extensions. TextDescriptives can be used to calculate several descriptive statistic

150 Dec 30, 2022
Approximate Nearest Neighbor Search for Sparse Data in Python!

Approximate Nearest Neighbor Search for Sparse Data in Python! This library is well suited to finding nearest neighbors in sparse, high dimensional spaces (like text documents).

Meta Research 906 Jan 01, 2023
Flexible HDF5 saving/loading and other data science tools from the University of Chicago

deepdish Flexible HDF5 saving/loading and other data science tools from the University of Chicago. This repository also host a Deep Learning blog: htt

UChicago - Department of Computer Science 255 Dec 10, 2022
vartests is a Python library to perform some statistic tests to evaluate Value at Risk (VaR) Models

gg I wasn't satisfied with any of the other available Gemini clients, so I wrote my own. Requires Python 3.9 (maybe older, I haven't checked) and opti

RAFAEL RODRIGUES 5 Jan 03, 2023
Data Analysis for First Year Laboratory at Imperial College, London.

Data Analysis for First Year Laboratory at Imperial College, London. For personal reference only, and to reference in lab reports and lab books.

Martin He 0 Aug 29, 2022
Data pipelines built with polars

valves Warning: the project is very much work in progress. Valves is a collection of functions for your data .pipe()-lines. This project aimes to host

14 Jan 03, 2023
Python utility to extract differences between two pandas dataframes.

Python utility to extract differences between two pandas dataframes.

Jaime Valero 8 Jan 07, 2023