Please consult our User Guide for a quick overview of Inspirient's main features, best practices, and Frequently Asked Questions (FAQ).
For additional in-detail questions, comments and feedback, you may also contact our support team.
Results specific to the field of public opinion polls
Contingency tables (or cross tabulations) display the frequency distributions of a dataset's variables
Other downloads resulting from this analysis
You have requested to download a large number of slides might take some time to process and may result in a file that is too big to share—please consider going back and downloading the current page.
Also, did you know that you can share these results directly from the recent analyses? Select the 'Share with others' option from the drop-down menu next to any analysis.
We are getting your presenation ready...
Name | Type | Slides | Date | Remove |
---|
Please sign in to start using this feature
(c254c02d-ce0a-44c2-8b3b-fade216c2194)   [more]
Size: 14.4 KB Source: data.europa.eu Last updated: 2022-01-10 17:36
The quick Introduction provides a quick view into the dataset automatically analyzed by Inspirient.
The most Relevant Insights report presents the 20 most relevant insights automatically selected by Inspirient. The insights were chosen because they have a high dimension priority and highlight a relevant pattern.
The data Quality Assessment assesses the quality of the input data and prioritizes mitigation steps based on analytical impact and ease of implementation
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!
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.
Dimension | Priority |
---|---|
For table dogovori za 3 kvartal 2021 roku in A1:S31 of input file dogovori-za-3-kvartal-2021-roku.xlsx… | |
Номер договору String |
|
Дата договору Date/Time |
|
Предмет договору String |
|
ДК 021(cpv-код) String |
|
Контрагент String |
|
Дата з Date/Time |
|
Дата по Date/Time |
|
Безстроковий True/False |
|
Вартість Floating Point Number |
|
Ознака ПДВ True/False |
|
ПДВ договору Floating Point Number |
|
Валюта String |
|
Еквівалент у грн Untyped |
|
Кількість додаткових угод Integer Number |
|
Кількість актів Integer Number |
|
Кількість штрафів Integer Number |
|
Ознака тендерної закупівлі True/False |
|
Обгрунтування String |
|
Дата оприлюднення Date/Time |
|
Dimension | Annotations |
---|---|
For table dogovori za 3 kvartal 2021 roku in A1:S31 of input file dogovori-za-3-kvartal-2021-roku.xlsx… | |
Номер договору String |
|
Дата договору Date/Time |
|
Предмет договору String |
|
ДК 021(cpv-код) String |
|
Контрагент String |
|
Дата з Date/Time |
|
Дата по Date/Time |
|
Безстроковий True/False |
|
Вартість Floating Point Number |
|
Ознака ПДВ True/False |
|
ПДВ договору Floating Point Number |
|
Валюта String |
|
Еквівалент у грн Untyped |
|
Кількість додаткових угод Integer Number |
|
Кількість актів Integer Number |
|
Кількість штрафів Integer Number |
|
Ознака тендерної закупівлі True/False |
|
Обгрунтування String |
|
Дата оприлюднення Date/Time |
If you are experiencing issues with your analysis, please share the logfile* with us, by clicking the button below, and we will look into it right away for you.
*What is a logfile? The logfile helps us understand why something in your analysis may not have worked as expected and does not contain any source data.
(click here to view complete log):