Initial release: 12 months × 5-min × 12 Jerusalem stations (~7.1M readings)

README.md

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+---
+license: cc-by-4.0
+language:
+  - en
+  - he
+pretty_name: Jerusalem Air Quality — Weekday vs Shabbat
+size_categories:
+  - 1M<n<10M
+tags:
+  - air-quality
+  - environmental
+  - jerusalem
+  - israel
+  - time-series
+  - shabbat
+  - sabbath
+  - pm25
+  - no2
+  - environmental-monitoring
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: data/readings.parquet
+---
+
+# Jerusalem Air Quality — Weekday vs Shabbat
+
+Twelve months of 5-minute-resolution air-quality readings from **12 monitoring
+stations across Jerusalem**, formatted for analysing the weekday vs Friday vs
+Shabbat (Saturday) pattern in urban pollution.
+
+The motivation: Jerusalem has a uniquely strong weekly traffic cycle — many
+streets in observant neighbourhoods empty out from Friday afternoon to
+Saturday night. This dataset is intended to support quantitative work on
+the resulting air-quality signal.
+
+## Source and attribution
+
+All readings come from the **Israeli Ministry of Environmental Protection
+(המשרד להגנת הסביבה)** national air-quality monitoring network, accessed
+through the public portal at <https://air.sviva.gov.il/>.
+
+The MoEP / sviva.gov.il site is the canonical source. This dataset is a
+convenience repackaging of that public data into a tidy parquet file with
+some derived columns (local time, day-of-week, Shabbat/Friday flags) and
+12 months of history pre-aggregated for the Jerusalem stations.
+
+If you use this data in research or downstream work, please cite the
+**Israeli Ministry of Environmental Protection** as the original source.
+
+## Coverage
+
+- **Window:** 2025-04-28 → 2026-04-28 (12 months, full year)
+- **Resolution:** 5 minutes (native sensor cadence)
+- **Stations:** 12 active continuous monitoring stations within the
+  Jerusalem region (`regionId == 8` in the source system).
+- **Total valid readings:** ~7.1 million (only readings flagged `valid`
+  by the source system are included; sensor-error / calibration rows are
+  dropped).
+
+### Stations
+
+| station_id | Name (English) | Name (Hebrew) | Notes |
+|---|---|---|---|
+| 5   | Bar Ilan St | רחוב בר אילן | Major arterial through ultra-Orthodox neighbourhood |
+| 13  | Baka | בקעה | Residential mixed |
+| 36  | Safra Square | כיכר ספרא | City centre / municipal complex |
+| 193 | Romema | רוממה | Ultra-Orthodox |
+| 310 | Central Bus Station Platform 10 | רציף 10 תחנה מרכזית | Heavy bus traffic |
+| 328 | Atarot industrial zone | אזור תעשייה עטרות | Industrial / north |
+| 458 | Devorah HaNevia St | רחוב דבורה הנביאה | Residential |
+| 547 | Highway 16 / Beit interchange | כביש 16-מחלף בייט | Highway interchange |
+| 568 | Rockefeller Museum | מוזיאון רוקפלר | East Jerusalem corridor |
+| 607 | Beit Safafa | בית צפאפא | South-east neighbourhood |
+| 623 | Atarot Eden | עטרות עדן | North; partial coverage from 2025-08 |
+| 635 | Bezalel St | ירושלים, רחוב בצלאל בזק | City centre; partial coverage from 2026-02 |
+
+Full station metadata is in `stations.csv`.
+
+### Pollutants and parameters
+
+Per-station coverage varies — not every station measures every parameter.
+The full set present in the dataset:
+
+| code | pollutant_en | typical units |
+|---|---|---|
+| `NO` | Nitric oxide | ppb |
+| `NOX` | Nitrogen oxides | ppb |
+| `NO2` | Nitrogen dioxide | ppb |
+| `CO` | Carbon monoxide | ppm |
+| `O3` | Ozone | ppb |
+| `SO2` | Sulphur dioxide | ppb |
+| `PM2.5` | Fine particulates | µg/m³ |
+| `PM10` | Coarse particulates | µg/m³ |
+| `TSP` | Total suspended particulates | µg/m³ |
+| `Benzene` | Benzene | ppb |
+| `Toluene` | Toluene | ppb |
+| `Temp`, `ITemp`, `RH`, `WS`, `WD` | Meteorological co-variates | — |
+
+## Schema
+
+`data/readings.parquet` (long form, one row per (station, timestamp, pollutant)):
+
+| column | type | description |
+|---|---|---|
+| `station_id` | int | MoEP station identifier |
+| `station_name_he` | string | Station name in Hebrew |
+| `station_name_en` | string | Station name in English |
+| `station_lat`, `station_lon` | float | Station coordinates (WGS-84) |
+| `timestamp` | timestamp\[UTC\] | Reading timestamp in UTC |
+| `timestamp_local` | timestamp\[Asia/Jerusalem\] | Same instant in local time (handles DST) |
+| `dow` | int8 | Day of week, Mon=0 … Sun=6 |
+| `hour` | int8 | Local hour 0–23 |
+| `is_friday` | bool | `dow == 4` |
+| `is_shabbat` | bool | `dow == 5` (Saturday — proxy for Shabbat; see caveats) |
+| `pollutant` | string | Source code (e.g. `NO2`, `PM2.5`) |
+| `pollutant_en` | string | English long name |
+| `pollutant_he` | string | Hebrew long name (as published by the source) |
+| `pollutant_id` | int | MoEP pollutant identifier |
+| `value` | float64 | Reading value |
+| `units` | string | Reading units (per the source) |
+
+## Quick start
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("danielrosehill/Jerusalem-Air-Quality-Shabbat", split="train")
+df = ds.to_pandas()
+
+# Mean NO2 by day of week, for Bar Ilan St
+import pandas as pd
+no2 = df[(df.station_id == 5) & (df.pollutant == "NO2")]
+print(no2.groupby("dow")["value"].mean())
+```
+
+Or directly with pandas / pyarrow:
+
+```python
+import pandas as pd
+df = pd.read_parquet("hf://datasets/danielrosehill/Jerusalem-Air-Quality-Shabbat/data/readings.parquet")
+```
+
+## Headline finding (preliminary)
+
+Using the daytime window 07:00–22:00 local time, **gaseous traffic
+pollutants drop sharply on Shabbat across all 12 stations**, with Friday
+sitting roughly half-way:
+
+| Pollutant | Friday % drop vs Sun-Thu | Shabbat % drop vs Sun-Thu |
+|---|---|---|
+| NO    | ~40 % | ~55 % (range 19–76 %) |
+| NOx   | ~34 % | ~52 % |
+| NO₂   | ~30 % | ~47 % |
+| Toluene | ~44 % | ~38 % |
+| Benzene | ~25 % | ~21 % |
+| CO    | ~7 %  | ~8 %  |
+
+The biggest Shabbat drops are in observant West-Jerusalem
+neighbourhoods (Bezalel ~73 %, Bar Ilan ~55 %, Romema ~52 %) and the
+smallest along corridors that carry significant non-observant traffic
+(Rockefeller Museum ~13 %, Safra Square ~33 %).
+
+**Particulates (PM2.5, PM10) do _not_ drop on Shabbat — they often rise.**
+This is a real signal in the data but is confounded by Saharan dust
+intrusions and weekend grilling, and needs its own controlled analysis.
+
+Per-station summary tables are in `analysis/`. Full write-up of the
+methodology, caveats, and limitations is in `analysis/FINDINGS.md`.
+
+## Caveats and known limitations
+
+- **Shabbat is approximated as the calendar Saturday in local time.** Real
+  Shabbat onset/conclusion is sunset-based and varies between roughly
+  16:30 and 19:30 across the year. A Hebcal-driven exact window would
+  tighten the signal, especially for the Friday-evening / Saturday-night
+  transitions.
+- **Jewish holidays are _not_ excluded.** The window 2025-04 → 2026-04
+  contains Pesach, Shavuot, the High Holy Days, Sukkot, Hanukkah and
+  Purim. Yom Kippur in particular is the cleanest air day of the year
+  nationally and biases any "weekday" baseline that includes it
+  (Wed 2025-10-01 was YK 2025).
+- **Sensor validity flag is trusted as-is.** Only `valid: true` readings
+  are included; the source system's QC decisions have not been
+  re-verified.
+- **Two stations have partial coverage**: 623 (Atarot Eden) starts
+  2025-08-06; 635 (Bezalel St) starts 2026-02-05. Their statistics use
+  fewer Saturdays.
+- **Station 509** (Malchei Israel) is listed as active in the source
+  metadata but returned no historical data over this window and is
+  omitted from `data/readings.parquet`.
+- **Region filter:** stations were selected by `regionId == 8` in the
+  source system. Two stations on the periphery of the region (Highway 16
+  and Atarot) sit outside the historical city core but are functionally
+  part of the Jerusalem network.
+
+## License
+
+The underlying data is published by the Israeli Ministry of Environmental
+Protection as a public-information service. This dataset is shared under
+**CC-BY-4.0** with attribution to the Ministry as the original data
+source.
+
+## Versioning
+
+- **v1** (2026-04-28): initial release. 12 months × 5-min × 12 stations,
+  long-form parquet.

analysis/FINDINGS.md

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+# Jerusalem Air Quality — Weekday vs Friday vs Shabbat (preliminary)
+
+12 months of 5-minute resolution data (2025-04-28 → 2026-04-28) for 12 active
+Israeli MoEP / Envista ARM stations in Jerusalem, pulled from
+`https://air-papi.sviva.gov.il/v1/envista/...` (see
+`research/api-air-sviva-gov-il.md`).
+
+Daytime window = 07:00–22:00 local (Asia/Jerusalem). Friday evening through
+Saturday morning is collapsed into "Sat" since Shabbat-observant traffic is
+already off the road by then; this slightly understates the true Shabbat drop
+because it includes Friday morning rush in "Fri".
+
+Each station has ~50 Fridays and ~50 Saturdays in the window (station 623
+joined Aug 2025, station 635 joined Feb 2026 — small samples flagged).
+
+## Signal: traffic-derived gases drop sharply on Shabbat
+
+Median Shabbat % drop vs Sun-Thu daytime mean, across the 12 stations:
+
+| Pollutant | Friday % drop | Shabbat % drop |
+|---|---|---|
+| NO    | ~40 % | ~55 % |
+| NOx   | ~34 % | ~52 % |
+| NO₂   | ~30 % | ~47 % |
+| Toluene | ~44 % | ~38 % |
+| Benzene | ~25 % | ~21 % |
+| CO    | ~7 %  | ~8 %  |
+
+The signal is consistent, monotonic (Sun-Thu > Fri > Sat for every gaseous
+traffic pollutant at every station except a couple of edge cases), and
+strongest in the most observant neighbourhoods.
+
+## Where the drop is biggest
+
+Top stations by NOx Shabbat drop:
+
+| Station ID | Location | NOx weekday | NOx Shabbat | % drop |
+|---|---|---|---|---|
+| 635 | Bezalel St (city centre, near Geula) | 34.0 | 9.0 | **73 %** |
+| 310 | Central Bus Station Platform 10 | 130.0 | 40.5 | **69 %** |
+| 458 | Devorah HaNevia St (residential) | 39.6 | 15.5 | **61 %** |
+| 328 | Atarot industrial zone | 38.8 | 15.8 | **59 %** |
+| 547 | Highway 16 / Beit interchange | 18.1 | 7.8 | **57 %** |
+| 5   | Bar Ilan St (arterial) | 26.4 | 11.9 | **55 %** |
+| 193 | Romema (ultra-Orthodox) | 14.3 | 6.8 | **52 %** |
+| 607 | Beit Safafa | 18.6 | 9.3 | **50 %** |
+| 13  | Baka (residential mixed) | 13.9 | 8.5 | **39 %** |
+| 36  | Safra Square (city centre) | 11.1 | 7.5 | **33 %** |
+| 623 | Atarot Eden (8 mo. only) | 12.1 | 9.1 | **25 %** |
+| 568 | Rockefeller Museum | 33.1 | 28.7 | **13 %** |
+
+Rockefeller Museum (568) is the surprise outlier — much smaller drop than
+neighbours. Worth checking whether the inlet sits next to a road that
+remains busy on Shabbat (Sultan Suleiman / Salah a-Din area carries a lot
+of East-Jerusalem traffic, which doesn't observe Shabbat).
+
+Conversely, the very tight grouping at 50–70 % drops in West-Jerusalem
+arterial / residential stations is a strong correlate of the population's
+observance of vehicular Shabbat.
+
+## Friday is genuinely intermediate
+
+Friday daytime sits roughly **half-way** between weekday and Shabbat for
+NOx at most stations — consistent with reduced commercial activity but
+ongoing pre-Shabbat shopping/errands until early afternoon.
+`scripts/shabbat_correlation.py` also writes `station-{id}-friday-split.csv`
+breaking Friday into AM (07–13) and PM (14–22) — the AM block looks like a
+near-normal weekday; the drop concentrates in PM.
+
+## PM2.5 / PM10 do **not** drop on Shabbat — they often rise
+
+Particulate matter increases on Saturdays at almost every station (-30 % to
+-65 % "drops", i.e. Sat is *higher* than weekday). Several plausible
+contributors, none ruled out yet:
+
+- April–May 2026 included multiple Saharan dust intrusions; 12 months is
+  not enough to wash that out and Saturdays happened to coincide with some
+  of them.
+- Charcoal grilling (mangal) is a well-documented Israeli Friday-afternoon
+  / Saturday source of PM2.5 and PM10.
+- Reduced wind / different boundary-layer dynamics on weekends.
+
+This is a real finding for the project but it cuts the other way from the
+gaseous traffic story and deserves its own analysis (probably needs to
+controlling for synoptic dust days).
+
+## Caveats
+
+- Daytime defined as 07–22 ignores the actual Shabbat onset/conclusion
+  times, which vary 17:00–19:00 by season. A Hebcal-driven exact window
+  would tighten the signal.
+- Calendar holidays (Pesach 2025-04, Shavuot, Rosh Hashana, Yom Kippur,
+  Sukkot, Hanukkah) are not excluded — Yom Kippur in particular is the
+  cleanest air day of the year nationwide and inflates "weekday" cleanness
+  for any year that includes it (Wed 2025-10-01 was YK 2025).
+- 12 months × 5-min data is ~700k rows per station, ~2 GB total raw JSON;
+  the raw is gitignored and regenerable via the API; only summary CSVs are
+  committed.
+
+## How to reproduce
+
+```bash
+# 1. Pull raw data (mints Guest tokens, ~2 GB)
+.venv/bin/python -m pip install pandas numpy   # one-off
+bash scripts/fetch_historical.sh               # (TODO: lift the inline pull from session)
+
+# 2. Run analysis
+.venv/bin/python scripts/shabbat_correlation.py
+# → writes analysis/headline-3way.csv + per-station CSVs
+```

analysis/headline-3way.csv

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+station_id,station,pollutant,weekday_mean,friday_mean,shabbat_mean,fri_pct_drop,shabbat_pct_drop,n_sat_days,n_fri_days
+13,Baka (residential mixed),NO2,9.65,6.47,5.66,32.9,41.4,51,52
+13,Baka (residential mixed),NOX,13.94,9.33,8.53,33.1,38.8,51,52
+13,Baka (residential mixed),NO,4.29,2.86,2.87,33.3,33.0,51,52
+13,Baka (residential mixed),PM2.5,15.15,19.06,21.44,-25.8,-41.5,51,52
+13,Baka (residential mixed),PM10,53.13,62.96,77.02,-18.5,-45.0,51,52
+193,Romema (ultra-Orthodox),NO,2.68,1.77,1.26,34.1,52.9,52,52
+193,Romema (ultra-Orthodox),NOX,14.27,9.03,6.78,36.7,52.4,52,52
+193,Romema (ultra-Orthodox),NO2,11.59,7.26,5.52,37.3,52.3,52,52
+193,Romema (ultra-Orthodox),PM2.5,12.45,16.85,20.76,-35.3,-66.8,52,52
+310,Central Bus Station Platform 10,NO2,55.83,39.17,16.65,29.9,70.2,50,50
+310,Central Bus Station Platform 10,NOX,130.02,87.63,40.45,32.6,68.9,50,50
+310,Central Bus Station Platform 10,NO,74.19,48.48,23.84,34.7,67.9,50,50
+310,Central Bus Station Platform 10,PM2.5,19.5,19.13,22.21,1.9,-13.9,50,50
+328,Atarot industrial zone,NO,18.43,5.39,5.84,70.8,68.3,52,52
+328,Atarot industrial zone,NOX,38.76,14.2,15.8,63.4,59.2,52,52
+328,Atarot industrial zone,NO2,20.32,8.81,9.95,56.7,51.0,52,52
+328,Atarot industrial zone,PM10,143.89,85.92,96.04,40.3,33.3,52,52
+328,Atarot industrial zone,PM2.5,26.79,23.11,25.37,13.8,5.3,52,52
+36,Safra Square (city centre / municipality),NO,2.36,1.58,1.57,32.9,33.3,51,52
+36,Safra Square (city centre / municipality),NOX,11.14,7.68,7.51,31.0,32.6,51,52
+36,Safra Square (city centre / municipality),NO2,8.78,6.1,5.93,30.6,32.4,51,52
+36,Safra Square (city centre / municipality),PM10,56.13,66.12,81.0,-17.8,-44.3,51,52
+458,Devorah HaNevia St (residential),NO,20.3,10.4,5.79,48.8,71.5,52,52
+458,Devorah HaNevia St (residential),NOX,39.58,23.91,15.49,39.6,60.9,52,52
+458,Devorah HaNevia St (residential),Toluene,0.99,0.54,0.47,45.1,53.0,52,52
+458,Devorah HaNevia St (residential),NO2,19.27,13.51,9.7,29.9,49.7,52,52
+458,Devorah HaNevia St (residential),Benzene,0.28,0.21,0.19,26.7,32.4,52,52
+458,Devorah HaNevia St (residential),PM2.5,22.95,26.47,33.15,-15.3,-44.5,52,52
+5,"Bar Ilan St (arterial, ultra-Orthodox)",NO,9.21,4.84,2.52,47.4,72.7,52,52
+5,"Bar Ilan St (arterial, ultra-Orthodox)",NOX,26.39,17.51,11.85,33.6,55.1,52,52
+5,"Bar Ilan St (arterial, ultra-Orthodox)",Toluene,0.67,0.33,0.31,51.0,54.3,52,52
+5,"Bar Ilan St (arterial, ultra-Orthodox)",NO2,17.18,12.67,9.33,26.2,45.7,52,52
+5,"Bar Ilan St (arterial, ultra-Orthodox)",Benzene,0.22,0.16,0.16,26.4,29.5,52,52
+5,"Bar Ilan St (arterial, ultra-Orthodox)",CO,0.54,0.5,0.5,6.6,8.2,52,52
+5,"Bar Ilan St (arterial, ultra-Orthodox)",PM2.5,16.92,20.25,22.47,-19.7,-32.8,52,52
+547,Highway 16 / Beit interchange,NO,7.59,4.6,2.28,39.4,70.0,52,52
+547,Highway 16 / Beit interchange,NOX,18.14,12.16,7.85,32.9,56.7,52,52
+547,Highway 16 / Beit interchange,NO2,10.55,7.56,5.57,28.3,47.2,52,52
+547,Highway 16 / Beit interchange,PM10,70.15,67.71,90.96,3.5,-29.7,52,52
+547,Highway 16 / Beit interchange,PM2.5,24.27,28.05,31.75,-15.6,-30.8,52,52
+568,Rockefeller Museum,Toluene,0.71,0.4,0.48,44.0,32.8,52,52
+568,Rockefeller Museum,NO,13.72,7.14,11.12,48.0,18.9,52,52
+568,Rockefeller Museum,NOX,33.08,21.4,28.73,35.3,13.1,52,52
+568,Rockefeller Museum,Benzene,0.22,0.16,0.2,25.4,9.3,52,52
+568,Rockefeller Museum,NO2,19.36,14.26,17.61,26.3,9.0,52,52
+568,Rockefeller Museum,PM10,62.47,68.01,62.75,-8.9,-0.5,52,52
+568,Rockefeller Museum,PM2.5,16.4,19.24,23.99,-17.3,-46.3,52,52
+607,Beit Safafa,NO,8.18,4.02,3.91,50.9,52.2,52,52
+607,Beit Safafa,NOX,18.64,10.15,9.33,45.6,50.0,52,52
+607,Beit Safafa,NO2,10.46,6.13,5.42,41.4,48.2,52,52
+607,Beit Safafa,PM10,85.75,92.25,105.62,-7.6,-23.2,52,52
+607,Beit Safafa,PM2.5,23.31,27.19,31.36,-16.6,-34.5,52,52
+623,Atarot Eden,NO,3.87,2.39,2.72,38.4,29.8,38,38
+623,Atarot Eden,Toluene,0.52,0.3,0.38,42.1,25.4,38,38
+623,Atarot Eden,NOX,12.14,7.91,9.06,34.9,25.3,38,38
+623,Atarot Eden,NO2,8.26,5.52,6.34,33.2,23.3,38,38
+623,Atarot Eden,Benzene,0.34,0.31,0.32,8.4,6.9,38,38
+623,Atarot Eden,PM10,69.81,76.65,99.03,-9.8,-41.9,38,38
+623,Atarot Eden,PM2.5,20.03,25.37,28.86,-26.6,-44.1,38,38
+635,Bezalel St / Bezeq,NO,15.4,4.98,3.72,67.6,75.8,11,11
+635,Bezalel St / Bezeq,NOX,33.96,14.54,9.05,57.2,73.4,11,11
+635,Bezalel St / Bezeq,NO2,18.58,9.62,5.43,48.2,70.7,11,11
+635,Bezalel St / Bezeq,PM10,69.66,142.69,149.37,-104.8,-114.4,11,11
+635,Bezalel St / Bezeq,PM2.5,19.93,42.73,53.51,-114.4,-168.5,11,11

analysis/station-13-3way.csv

@@ -0,0 +1,6 @@
+pollutant,weekday_mean,friday_mean,shabbat_mean,weekday_n,friday_n,shabbat_n,fri_pct_drop,shabbat_pct_drop
+NO2,9.648959944638932,6.4701661937576,5.6571589052287585,49132,9868,9792,32.94441856033929,41.370272675119374
+NOX,13.936247252299927,9.329306850425619,8.530912990196079,49132,9868,9792,33.057252203343445,38.78615357668682
+NO,4.287755434340145,2.858633968382651,2.8732945261437908,49132,9868,9792,33.33029338641432,32.98837654937355
+PM2.5,15.153894819272143,19.057909458199525,21.439921520033046,48526,9653,9684,-25.76245041612936,-41.48126125810624
+PM10,53.13191235714873,62.95707585644372,77.02313119950915,48652,9808,9779,-18.492019322118473,-44.96585532582649

analysis/station-13-friday-split.csv

@@ -0,0 +1,6 @@
+pollutant,Sun-Thu,Fri-AM,Fri-PM,Sat
+NO,4.29,3.31,2.5,2.87
+NO2,9.65,6.28,6.62,5.66
+NOX,13.94,9.6,9.12,8.53
+PM10,53.13,51.89,71.73,77.02
+PM2.5,15.15,16.52,21.02,21.44

analysis/station-13-hourly-NO.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,3.58,5.33,2.07
+1,3.58,5.57,2.1
+2,2.62,4.02,1.96
+3,2.2,2.65,1.9
+4,2.02,2.33,1.9
+5,2.23,2.14,1.89
+6,4.63,2.84,2.18
+7,8.9,4.45,3.48
+8,5.82,4.04,2.62
+9,4.18,3.03,2.41
+10,3.59,2.85,2.38
+11,3.35,2.96,2.41
+12,3.24,3.03,2.49
+13,3.32,2.83,2.54
+14,3.4,2.84,2.6
+15,3.56,2.88,2.64
+16,3.54,2.73,2.55
+17,4.22,2.5,2.47
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+21,3.82,2.19,3.93
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+23,3.71,2.09,5.07

analysis/station-13-hourly-NO2.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,9.63,11.69,7.58
+1,8.58,10.94,7.1
+2,6.84,9.43,5.95
+3,5.79,8.18,5.15
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+23,10.96,8.1,12.82

analysis/station-13-hourly-NOX.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,13.2,17.01,9.66
+1,12.15,16.51,9.19
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analysis/station-13-hourly-PM10.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,40.62,41.66,54.99
+1,36.37,41.02,54.71
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analysis/station-13-hourly-PM25.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,12.23,14.3,16.41
+1,11.68,15.87,17.21
+2,10.84,15.77,16.33
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+19,14.48,20.19,20.18
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analysis/station-193-3way.csv

@@ -0,0 +1,5 @@
+pollutant,weekday_mean,friday_mean,shabbat_mean,weekday_n,friday_n,shabbat_n,fri_pct_drop,shabbat_pct_drop
+NO,2.6797864164071035,1.7663500816993463,1.262090389818619,49442,9792,9979,34.08616183421206,52.90332161953586
+NOX,14.266109785202865,9.0265522875817,6.784497444633731,49442,9792,9979,36.727303914734726,52.44325505141726
+NO2,11.585862222402005,7.259814133986929,5.52154524501453,49442,9792,9979,37.33902583486955,52.3423881708323
+PM2.5,12.451007839922651,16.847916666666666,20.762723004694838,47577,9600,9585,-35.313678083519136,-66.75536046264205

analysis/station-193-friday-split.csv

@@ -0,0 +1,5 @@
+pollutant,Sun-Thu,Fri-AM,Fri-PM,Sat
+NO,2.68,2.4,1.27,1.26
+NO2,11.59,8.84,6.03,5.52
+NOX,14.27,11.24,7.3,6.78
+PM2.5,12.45,13.4,19.53,20.76

analysis/station-193-hourly-NO.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,1.59,1.51,1.01
+1,1.24,1.28,1.0
+2,1.15,1.05,0.91
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analysis/station-193-hourly-NO2.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,8.47,10.29,3.84
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analysis/station-193-hourly-NOX.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,10.06,11.79,4.85
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analysis/station-193-hourly-PM25.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,11.51,9.98,17.58
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analysis/station-310-3way.csv

@@ -0,0 +1,5 @@
+pollutant,weekday_mean,friday_mean,shabbat_mean,weekday_n,friday_n,shabbat_n,fri_pct_drop,shabbat_pct_drop
+NO2,55.83249020887728,39.16587020033389,16.65204763894693,49024,9584,9572,29.851113475668374,70.1749866849047
+NOX,130.02408412206267,87.63006051752922,40.45434600919348,49024,9584,9572,32.60474695190718,68.88703636534278
+NO,74.19486374020887,48.48063439065109,23.841569160050145,49024,9584,9572,34.657694688402415,67.86628082028604
+PM2.5,19.500584100178305,19.13179448994788,22.211339656826176,48793,9401,9383,1.8911721225163391,-13.900894161539938

analysis/station-310-friday-split.csv

@@ -0,0 +1,5 @@
+pollutant,Sun-Thu,Fri-AM,Fri-PM,Sat
+NO,74.19,90.15,16.03,23.84
+NO2,55.83,61.16,22.04,16.65
+NOX,130.02,151.31,38.04,40.45
+PM2.5,19.5,17.08,20.73,22.21

analysis/station-310-hourly-NO.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,18.36,16.73,0.55
+1,5.99,4.95,0.52
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analysis/station-310-hourly-NO2.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,28.16,31.89,5.66
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analysis/station-310-hourly-NOX.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,46.51,48.61,6.17
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analysis/station-310-hourly-PM25.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,15.91,14.32,16.58
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+22,16.52,15.31,20.66
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analysis/station-328-3way.csv

@@ -0,0 +1,6 @@
+pollutant,weekday_mean,friday_mean,shabbat_mean,weekday_n,friday_n,shabbat_n,fri_pct_drop,shabbat_pct_drop
+NO,18.43455171851429,5.391828754762382,5.841237837295616,49054,9974,9969,70.75150599215694,68.31364317132208
+NOX,38.75619406788299,14.197443352717062,15.795104824957367,49055,9974,9969,63.367292134388414,59.24495372974027
+NO2,20.321860730593606,8.806316422699018,9.95491022168723,49056,9974,9969,56.66579680156196,51.01378582572126
+PM10,143.89417435557945,85.92042426726788,96.04197379197379,48338,9758,9768,40.28915718648318,33.25513404410469
+PM2.5,26.791220799571143,23.107267144319344,25.365300071567326,48501,9770,9781,13.750600179110796,5.3223432357611795

analysis/station-328-friday-split.csv

@@ -0,0 +1,6 @@
+pollutant,Sun-Thu,Fri-AM,Fri-PM,Sat
+NO,18.43,10.37,1.52,5.84
+NO2,20.32,12.36,6.04,9.95
+NOX,38.76,22.73,7.56,15.8
+PM10,143.89,96.41,77.76,96.04
+PM2.5,26.79,23.61,22.72,25.37

analysis/station-328-hourly-NO.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,8.1,8.65,1.32
+1,4.56,6.02,1.17
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analysis/station-328-hourly-NO2.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,13.57,15.07,7.71
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analysis/station-328-hourly-NOX.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
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analysis/station-328-hourly-PM10.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,76.3,75.86,59.5
+1,72.55,83.55,60.07
+2,71.36,104.0,64.0
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+7,114.23,88.92,74.37
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+9,137.41,105.11,108.36
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+11,176.8,112.42,96.5
+12,183.54,82.37,93.51
+13,202.92,71.71,107.92
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+22,80.39,63.83,77.24
+23,80.48,60.61,84.31

analysis/station-328-hourly-PM25.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,20.95,23.94,20.65
+1,19.91,25.03,21.19
+2,19.1,25.31,21.4
+3,17.2,20.36,22.13
+4,17.12,18.82,22.07
+5,18.6,17.84,21.83
+6,19.78,17.92,21.53
+7,24.24,25.52,22.26
+8,30.75,29.07,27.68
+9,30.41,23.7,30.66
+10,30.14,25.16,28.28
+11,28.5,23.29,23.18
+12,29.17,19.93,24.03
+13,30.98,18.61,26.19
+14,30.45,18.61,26.48
+15,29.53,19.51,24.83
+16,27.62,22.24,25.35
+17,25.87,26.8,24.75
+18,23.55,25.09,25.55
+19,21.55,22.51,25.23
+20,22.02,23.31,22.06
+21,21.76,23.07,25.37
+22,22.2,23.36,23.98
+23,22.0,22.47,23.85

analysis/station-36-3way.csv

@@ -0,0 +1,5 @@
+pollutant,weekday_mean,friday_mean,shabbat_mean,weekday_n,friday_n,shabbat_n,fri_pct_drop,shabbat_pct_drop
+NO,2.358481716849735,1.5828975052599938,1.5735396241830066,49253,9981,9792,32.884893957359246,33.28166960374783
+NOX,11.141924349785798,7.682967638513174,7.508261846405228,49253,9981,9792,31.044518008589076,32.612521762907384
+NO2,8.784248675207602,6.099929866746819,5.934466911764706,49253,9981,9792,30.558319871304683,32.441952280859645
+PM10,56.12518368276176,66.1234375,80.99846218223664,48317,9792,9559,-17.814202397539933,-44.31750039352554

analysis/station-36-friday-split.csv

@@ -0,0 +1,5 @@
+pollutant,Sun-Thu,Fri-AM,Fri-PM,Sat
+NO,2.36,2.02,1.24,1.57
+NO2,8.78,5.86,6.29,5.93
+NOX,11.14,7.88,7.53,7.51
+PM10,56.13,55.99,74.01,81.0

analysis/station-36-hourly-NO.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,1.16,1.2,1.02
+1,1.23,1.21,1.1
+2,1.11,1.14,1.01
+3,1.08,1.04,0.98
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+15,2.21,1.44,1.37
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+20,1.33,1.12,1.19
+21,1.38,1.13,1.22
+22,1.4,1.02,1.32
+23,1.26,1.04,1.44

analysis/station-36-hourly-NO2.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,6.95,8.95,6.53
+1,6.03,7.49,6.41
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+3,4.37,5.39,5.35
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+22,9.3,6.62,9.0
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analysis/station-36-hourly-NOX.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,8.11,10.15,7.55
+1,7.27,8.71,7.51
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+23,9.63,8.15,10.17

analysis/station-36-hourly-PM10.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,41.02,38.84,64.89
+1,43.73,43.35,66.21
+2,40.85,47.2,73.36
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+12,56.13,55.89,91.16
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+19,46.55,67.37,71.31
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+22,42.85,59.01,52.86
+23,40.19,64.53,56.15

analysis/station-458-3way.csv

@@ -0,0 +1,7 @@
+pollutant,weekday_mean,friday_mean,shabbat_mean,weekday_n,friday_n,shabbat_n,fri_pct_drop,shabbat_pct_drop
+NO,20.302229028070744,10.396504269211452,5.786999699067108,49304,9955,9969,48.7913161907651,71.49574221103629
+NOX,39.575866055492455,23.909181315921646,15.486909419199518,49304,9955,9969,39.58646089413005,60.867794030119015
+Toluene,0.9911146718988446,0.5442029470864033,0.46549549549549546,45870,8958,7326,45.091828169208476,53.0331344400676
+NO2,19.272562063929904,13.513088900050224,9.698946734878122,49304,9955,9969,29.884315042155087,49.67484498062427
+Benzene,0.2802044335487088,0.20527690371302706,0.18952014370028228,48133,9534,7794,26.7403084550612,32.36361705628136
+PM2.5,22.947618755746245,26.46793058481292,33.14933894230769,48945,9969,9984,-15.340641077127724,-44.456552530126324

analysis/station-458-friday-split.csv

@@ -0,0 +1,7 @@
+pollutant,Sun-Thu,Fri-AM,Fri-PM,Sat
+Benzene,0.28,0.22,0.2,0.19
+NO,20.3,15.64,6.34,5.79
+NO2,19.27,14.91,12.44,9.7
+NOX,39.58,30.55,18.78,15.49
+PM2.5,22.95,23.85,28.5,33.15
+Toluene,0.99,0.57,0.52,0.47

analysis/station-458-hourly-NO.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,15.92,19.01,5.04
+1,13.78,16.17,6.06
+2,5.91,9.24,1.18
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+15,19.64,11.13,2.43
+16,23.29,10.25,2.36
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+18,20.16,6.21,5.13
+19,18.46,3.56,10.37
+20,18.27,2.23,12.29
+21,17.38,2.7,13.27
+22,16.33,2.81,17.05
+23,14.54,2.59,17.48

analysis/station-458-hourly-NO2.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,16.02,19.69,10.67
+1,12.21,16.0,8.94
+2,9.84,13.55,7.98
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analysis/station-458-hourly-NOX.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,31.95,38.72,15.77
+1,25.98,32.16,15.0
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+23,31.68,13.86,36.1

analysis/station-458-hourly-PM25.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,19.55,18.72,22.64
+1,18.67,18.15,22.75
+2,18.19,18.95,23.45
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analysis/station-5-3way.csv

@@ -0,0 +1,8 @@
+pollutant,weekday_mean,friday_mean,shabbat_mean,weekday_n,friday_n,shabbat_n,fri_pct_drop,shabbat_pct_drop
+NO,9.209597711642626,4.840477384414803,2.5176977840168453,49293,9971,9973,47.440946543239896,72.66223929809647
+NOX,26.38946407562173,17.51410089258851,11.84938333500451,49298,9971,9973,33.632222153507755,55.098052385418356
+Toluene,0.673339726377701,0.3296261271167803,0.30798236690403524,46926,9094,8847,51.04608948442158,54.26047879859139
+NO2,17.1793829489442,12.672931501353927,9.331495036598817,49299,9971,9973,26.231742205078593,45.68201276884449
+Benzene,0.22084281634914546,0.16258632065097867,0.15575901435514863,46926,9094,8847,26.379167165693598,29.470644809700943
+CO,0.5400990611982674,0.5043682997695622,0.4957397287998381,48253,9981,9882,6.615594063324741,8.213184503600775
+PM2.5,16.920332217625415,20.24787872407622,22.473016685433514,48101,9499,9769,-19.665964377369594,-32.816639746730445

analysis/station-5-friday-split.csv

@@ -0,0 +1,8 @@
+pollutant,Sun-Thu,Fri-AM,Fri-PM,Sat
+Benzene,0.22,0.18,0.15,0.16
+CO,0.54,0.51,0.5,0.5
+NO,9.21,7.94,2.44,2.52
+NO2,17.18,13.6,11.95,9.33
+NOX,26.39,21.53,14.39,11.85
+PM2.5,16.92,19.97,20.47,22.47
+Toluene,0.67,0.41,0.26,0.31

analysis/station-5-hourly-CO.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,0.61,0.69,0.52
+1,0.58,0.64,0.52
+2,0.52,0.58,0.48
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+22,0.64,0.5,0.68
+23,0.64,0.51,0.66

analysis/station-5-hourly-NO.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,10.2,14.44,1.67
+1,8.63,10.72,1.13
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analysis/station-5-hourly-NO2.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,19.11,22.78,14.18
+1,15.84,19.66,13.21
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+23,20.68,14.78,20.9

analysis/station-5-hourly-NOX.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,29.31,37.22,15.85
+1,24.47,30.38,14.34
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+9,31.09,18.24,7.09
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+22,30.69,15.39,33.5
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analysis/station-5-hourly-PM25.csv

@@ -0,0 +1,25 @@
+hour,Sun-Thu,Fri,Sat
+0,12.87,14.93,16.11
+1,12.44,15.44,16.05
+2,12.59,14.51,17.23
+3,11.74,13.02,16.62
+4,11.84,12.34,18.59
+5,13.15,12.82,17.85
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+7,13.84,10.71,17.02
+8,14.77,15.02,19.04
+9,17.54,19.05,23.77
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+11,24.39,25.58,27.92
+12,23.92,24.11,28.37
+13,22.02,22.14,27.47
+14,21.95,23.97,29.4
+15,21.22,26.71,28.69
+16,19.03,28.09,26.74
+17,14.45,26.5,23.58
+18,11.47,20.07,20.96
+19,10.49,16.6,16.56
+20,9.19,15.01,13.43
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+22,12.26,12.78,13.91
+23,12.73,14.45,14.39

analysis/station-547-3way.csv

@@ -0,0 +1,6 @@
+pollutant,weekday_mean,friday_mean,shabbat_mean,weekday_n,friday_n,shabbat_n,fri_pct_drop,shabbat_pct_drop
+NO,7.58964270215536,4.600983707347064,2.2765048749470114,48391,9759,9436,39.37812505929371,70.00511138290457
+NOX,18.1359232931063,12.164473819038836,7.847827469266639,48392,9759,9436,32.92608475211895,56.72772021345226
+NO2,10.54731458329028,7.5640434470744955,5.570877490462061,48391,9759,9436,28.284651156058914,47.182029639205076
+PM10,70.14973672302439,67.7074081803005,90.9603732638889,48618,9584,9216,3.4815933128402885,-29.66602230174028
+PM2.5,24.268249507712504,28.047803014222037,31.748511516731856,48752,9422,9204,-15.574067282060794,-30.823245024912524

analysis/station-547-friday-split.csv

@@ -0,0 +1,6 @@
+pollutant,Sun-Thu,Fri-AM,Fri-PM,Sat
+NO,7.59,8.16,1.89,2.28
+NO2,10.55,9.71,5.93,5.57
+NOX,18.14,17.87,7.82,7.85
+PM10,70.15,53.63,78.61,90.96
+PM2.5,24.27,25.37,30.14,31.75