The results below are likely only meaningful to subject matter experts because the source dataset employs abbreviations, jargon and/or otherwise non-obvious labels. You may get in touch to help improve the source data, or you may browse Analyst-2 to find more accessible datasets.

Eau - Réseaux eaux usées - Grand Poitiers Données métiers

(612da9ed8711a5a1b046ea4d)   []

Le réseau de collecte des eaux usées est représenté par différentes catégories: refoulement, collecteur eaux usées et le réseau mixte (les deux réseaux eau pluviale et eau usée sont ensemble). Le réseau mixte n'existe que pour le centre-ville. La zone couverte est celle des 13 communes de Grand Poitiers. La mise à jour se fait au fil de l'eau. Ces données sont à utiliser à l'échelle 1/2500ème.

Data summary

  • File 'bb7e40ca-af79-4875-ba91-effe863fa94a'

    • Table ‘bb7e40ca-af79-4875-ba91-effe863fa94a’ consists of 22,918 data rows along 27 dimensions: ‘geo_point_2d’, ‘geo_shape’, ‘gml_id’, ‘objectid’, ‘identifiant’, ‘commune’, ‘rue’, ‘rivoli’, ‘type’, ‘date_de_pose’ and 17 other dimensions

Size: 9696.5 KB  Source: data.europa.eu  Last updated: 2022-01-12 22:23

Analysis completed in 10 minutes 56 seconds (with remarks)
Detailed Status Information

Analysis fidelity reduced to speed things up

Issue code #210-001

To provide you with results in acceptable time, some of the most time-consuming analyses were skipped for this dataset.

You may contact our support team via our contact form, by email or by selecting 'Request support' in 'Actions' for this analysis. For further information, you may also refer to our User Guide.

Quick introduction to this dataset

The quick Introduction provides a quick view into the dataset automatically analyzed by Inspirient.

Most relevant results discovered in this dataset

The most Relevant Insights report presents the 30 most relevant insights automatically selected by Inspirient. The insights were chosen because they have a high dimension priority and highlight a relevant pattern.

Data quality assessment of this dataset

The data Quality Assessment assesses the quality of the input data and prioritizes mitigation steps based on analytical impact and ease of implementation

All insights currently in focus, ranked by relevance

Explore all insights
Explore more datasets

Analyst-2 explores entire data repositories and data lakes, autonomously analyzing each dataset using the Inspirient Automated Analytics Engine.

If you would like Analyst-2 to surface insights in your company's data repository or data lake, please get in touch!

Creative Commons License

These analysis results by Inspirient GmbH are licensed under a Creative Commons Attribution 4.0 International License in conjunction with the licence of the source dataset.