[Dataset submission]: Listed prices for DJI drone models

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Assessment

Difficulty
2/5
Estimated time
1-3 hours
Newbie friendliness
68/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Quiet
Tech stack
r

Research direction

Review the Zenodo entry, its README, license, schemas, checksum manifest, and the linked R teaching material first. Confirm that the submission meets the stated dataset requirements and that its provenance, limitations, citation, and licensing are documented; done means the dataset can be accepted as an educational resource.

Written by the indexing model from the issue text.

Description

Thank you for your interest in submitting a dataset to Pointers.

Dataset Name

Reboot Hub DJI Drone Specs and Used Price Index: Q3 2026 Baseline

Zenodo Entry URL

https://zenodo.org/records/21387578

Dataset format(s)

Plain-text CSV and JSON Lines files, JSON schemas, Markdown documentation, a Data Package descriptor, and a release manifest with checksums.

Confirmation of Dataset Requirements

  • The dataset record includes a README file describing the dataset.
  • The dataset record includes a license file.

Description of Supplementary Information

The record contains a tidy 43-row model-level table summarizing 251 listed catalog configurations. Its README documents provenance, files, variables, processing decisions, exclusions, hazards, citation, and licensing. The package also contains machine-readable schemas and a checksum manifest.

Open teaching material and an R preparation script are under public review in cmustatistics/data-repository#23. The material proposes exercises in exploratory data analysis, log transformations, visualization, data cleaning, regression diagnostics, and selection bias.

The source methodology and current data notes are available on the Reboot Hub Data page.

Disclosure and evidence boundaries

I maintain the source dataset for Reboot Hub. The data come from one retailer and contain listed prices, not completed-sale prices or market-wide estimates. Configuration count partly reflects sampling effort, and bundle contents, controller type, batteries, accessories, and condition grade can affect price dispersion. The underlying configuration-level rows are not distributed. These limitations are stated in the Zenodo record and teaching material.

The dataset is published under CC BY 4.0 at DOI 10.5281/zenodo.21387578.

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