Examples of using Data analyses in English and their translations into Italian
{-}
-
Colloquial
-
Official
-
Medicine
-
Financial
-
Ecclesiastic
-
Ecclesiastic
-
Computer
-
Programming
-
Official/political
Review your images and data analyses results.
Perform data analyses(including anonymization of personal information).
Active participation in studies and quality control related data analyses.
Carrying out data analyses and market researches.
Use heatmaps and maps for clear, geographical data analyses.
In this context, data analyses are also carried out.
Publication in international scientific journals of results of data analyses.
Here you will find data analyses on geological topics in Switzerland.
Publication in international scientific journals of results of data analyses.
All those things require comprehensive data analyses, and those don't come cheap.
All other data analyses use data in anonymised form where this is possible.
and related capacity issues generate alarms with associated data analyses.
Therefore, the EUSR 2016 presents the data analyses according to a categorisation of zoonoses and food-borne outbreaks monitoring data: .
Survey. This research is part of a series of surveys and in-depth data analyses across thirteen countries.
Simulations, data analyses and visualizations provide central contributions in most research areas,
you must perform a series of data analyses using Hadoop.
To perform data analyses, including market and consumer search,
And provide data analyses and reference databases.
Perform data analyses(including market and consumer search and analytics,
in-store and laboratory experiments and population data analyses.
With articles by fashion critics and journalists, photo galleries, data analyses, visuals, illustrations and special interviews by the new director,
an ETL software and a specialised screen for further data analyses could reach 50.000€.
assess applied clinical research and data analyses and give you sufficient scientific
and allows users to run price data analyses.
research is required for improving and developing long-term observing systems, data analyses, models and forecast systems across a range of timescales,
protection against insurance fraud, data analyses for combating fraud etc.;
performing data analyses, accounting and auditing).
to learn about the progress of the project activities and to train them on the research data analyses using a software.
and providing technical support, data analyses, data storage, and security.