python-pandas-power-consumption

Data management and analytic pipelines for engineers

https://github.com/carpentries-incubator/python-pandas-power-consumption

Science Score: 41.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    1 of 4 committers (25.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.6%) to scientific vocabulary

Keywords

carpentries-incubator engineering english lesson pre-alpha python

Keywords from Contributors

spreadsheet carpentries data-carpentry data-wrangling ecology stable
Last synced: 6 months ago · JSON representation ·

Repository

Data management and analytic pipelines for engineers

Basic Info
Statistics
  • Stars: 2
  • Watchers: 3
  • Forks: 0
  • Open Issues: 1
  • Releases: 0
Topics
carpentries-incubator engineering english lesson pre-alpha python
Created about 5 years ago · Last pushed over 2 years ago
Metadata Files
Readme Contributing Funding License Code of conduct Citation Authors

README.md

Time Series Analysis of Smart Meter Power Consumption Data

Create a Slack Account with us

Thanks for contributing to The Carpentries Incubator! This repository provides a blank starting point for lessons to be developed here.

A member of the Carpentries Curriculum Team will work with you to get your lesson listed on the Community Developed Lessons page and make sure you have everything you need to begin developing your new lesson.

Contributing

We welcome all contributions to improve the lesson! Maintainers will do their best to help you if you have any questions, concerns, or experience any difficulties along the way.

We'd like to ask you to familiarize yourself with our Contribution Guide and have a look at the more detailed guidelines on proper formatting, ways to render the lesson locally, and even how to write new episodes.

Please see the current list of issues for ideas for contributing to this repository. For making your contribution, we use the GitHub flow, which is nicely explained in the chapter Contributing to a Project in Pro Git by Scott Chacon. Look for the tag good_first_issue. This indicates that the maintainers will welcome a pull request fixing this issue.

Maintainer(s)

Current maintainers of this lesson are

  • Jon Wheeler

Authors

A list of contributors to the lesson can be found in AUTHORS

Citation

To cite this lesson, please consult with CITATION

Owner

  • Name: carpentries-incubator
  • Login: carpentries-incubator
  • Kind: organization

Citation (CITATION)

Please cite as:

Jonathan Wheeler:
"Time Series Analysis of Solar Power Generation Data."
https://github.com/carpentries-incubator/data-management-pipelines-engineering

GitHub Events

Total
  • Issues event: 3
  • Issue comment event: 1
Last Year
  • Issues event: 3
  • Issue comment event: 1

Committers

Last synced: 12 months ago

All Time
  • Total Commits: 104
  • Total Committers: 4
  • Avg Commits per committer: 26.0
  • Development Distribution Score (DDS): 0.365
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Jonathan Wheeler j****1@g****m 66
Jon Wheeler j****1@u****u 36
Zhian N. Kamvar z****r@g****m 1
Toby Hodges t****s@g****m 1
Committer Domains (Top 20 + Academic)
unm.edu: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 9
  • Total pull requests: 1
  • Average time to close issues: 8 months
  • Average time to close pull requests: about 7 hours
  • Total issue authors: 2
  • Total pull request authors: 1
  • Average comments per issue: 0.78
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 0
  • Average time to close issues: 44 minutes
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 0
  • Average comments per issue: 0.5
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • jonathanwheeler01 (7)
  • tobyhodges (2)
Pull Request Authors
  • zkamvar (1)
Top Labels
Issue Labels
help wanted (3)
Pull Request Labels