preliminaries: Addressed Katerina's comments

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Manos Katsomallos 2021-09-03 12:55:13 +03:00
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@ -13,6 +13,19 @@ We firstly classify data based on their content \kat{'based on their content' re
\item \emph{Statistical data}---the outcome of statistical processes on microdata.
\end{itemize}
To accompany and facilitate the descriptions in this chapter, we provide the following running example.
\begin{example}
\label{ex:snapshot}
Users interact with an LBS by making queries in order to retrieve some useful location-based information or just reporting user-state at various locations.
This user--LBS interaction generates user-related data, organized in a schema with the following attributes: \emph{Name} (the unique identifier of the table), \emph{Age}, \emph{Location}, and \emph{Status} (Table~\ref{tab:snapshot-micro}).
The `Status' attribute includes information that characterizes the user's state or the query itself, and its value varies according to the service functionality.
Subsequently, the generated data are aggregated (by issuing count queries over them) in order to derive useful information about the popularity of the venues during the day (Table~\ref{tab:snapshot-statistical}).
\includetable{snapshot}
\end{example}
\kat{I miss the definition of data. You speak of data items, data values, what is the difference to data?}
An example of microdata is displayed in Table~\ref{tab:snapshot-micro}, while an example of statistical data in Table~\ref{tab:snapshot-statistical}.
Data, in either of these two forms, may have a special property called~\emph{continuity}, i.e.,~their values change and can be observed through time. \kat{The way that you define it here reminds temporal data. What is the difference?}