Helix the Robot
Helix
arrow_backCity Air Quality

Dataset research report

City Air Quality research report

A reproducible data report with schema notes, generated chart evidence, suggested follow-up questions, and export-ready Helix queries.

storageSample descriptioncity-air-quality.csv view_list96 rows

Executive Summary

Monthly city climate and air-quality observations with coordinates, pollutants, temperature, and respiratory visits for maps, scatter plots, and correlations.

Finding 1The dataset has 96 rows available in the catalog.
Finding 2The catalog exposes 11 documented or inferred columns.
Finding 3Helix has 6 ready query prompts for this dataset.
Finding 4This report includes 6 generated chart views.

Research Context

City Air Quality: 96 rows by 11 columns. These exploratory charts are generated automatically from the data - open the dataset in Helix to ask your own questions.

Data Profile

Rows96
Columns11
Numeric cols5
Categorical cols3
Date range2025-01-01 → 2025-12-01

Chart Evidence

These views are generated from the dataset profile. Each chart is paired with a Helix query so it can be opened, adjusted, and exported.

Follow-Up Queries

Preview Rows

# monthtext citytext countrytext climate_zonetext latitudefloat longitudefloat avg_temp_cfloat pm25_ug_m3float
1 2025-01-01Los AngelesUSAcoastal34.05-118.2189
2 2025-01-01ChicagoUSAinland41.88-87.6318.913.5
3 2025-01-01Mexico CityMexicohighland19.43-99.1319.718
4 2025-01-01Sao PauloBrazilsubtropical-23.55-46.6320.622.5
5 2025-01-01LondonUKtemperate51.51-0.1321.427
6 2025-01-01CairoEgyptdesert30.0431.2422.239.5

Data Dictionary

  • month date Observation month
  • city categorical City name
  • country categorical Country name
  • climate_zone categorical Broad climate zone
  • latitude float City latitude
  • longitude float City longitude
  • avg_temp_c float Average temperature in Celsius
  • pm25_ug_m3 float PM2.5 concentration
  • no2_ppb float NO2 concentration
  • ozone_ppb float Ozone concentration
  • respiratory_visits int Respiratory-related healthcare visits

Method And Limits

  • Load the catalog entry and preview rows from the processed dataset file.
  • Infer numeric, categorical, time, and location fields from real columns.
  • Generate a small set of defensive Plotly chart specifications from that profile.
  • Expose each chart idea as a query link so the report can be rerun or exported in Helix.

This report is intentionally reproducible. It uses the local catalog metadata and generated chart specifications rather than claiming external conclusions beyond the dataset.

Related Dataset Reports

Login to Helix

Don't have an account? Sign up here

Sign Up for Helix

Already have an account? Login here