This document provides detailed calculation rules for various analytics charts.
The CSV or OData data exported by the Wedia APIs should be used to build these charts.
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Each title corresponds to an entry in the menu located on the left side of the analytics module. Each subtitle corresponds to a tab located at the top of an entry in the menu. Each number within a subtitle corresponds to a chart.
Users and
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Assets
All charts in this section are the result of batch processing. Therefore, they cannot be reproduced as mentioned in the introduction.
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These charts are not meant to be reproduced. They combine the 50 latest download and search actions, which are not meaningful when using an export with a minimum granularity of a day.
Internal
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Asset Usage
Usage
To build eligible charts, in the case of using CSV export, the endpoint format is: /api/wedia/analytics/odataools/dam/csv*.
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Number -> Sum of the number of rows after filtering
Evolution -> Distribution of the sum over the period of your choice
Distribution of media asset creations by asset -> Group by asset_objectname
Distribution of creations by user -> Group by surfer_uid
List of created mediaassets -> Group by asset_name
Update
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Number -> Sum of the number of rows after filtering
Evolution -> Distribution of the sum over the period of your choice
Distribution of media asset updates by asset -> Group by asset_objectname
Distribution of updates by user -> Group by surfer_uid
List of updated mediaassets -> Group by asset_name
Deletion
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Number -> Sum of the number of rows after filtering
Evolution -> Distribution of the sum over the period of your choice
Distribution of actions by asset -> Group by asset_objectname
Distribution of actions by user -> Group by surfer_uid
List of updated mediaassets -> Group by asset_name
Rankings
To build eligible charts, in the case of using CSV export, the endpoint is in the following format: /api/wedia/analytics/odataools/dam/csv*
Most viewed media:
action_id | mustEquals | view |
session_type | mustNotEquals | admin |
asset_objectname | mustObjectHaveTagName | damobject |
Aggregation is then performed on the asset_name or asset_uid field.
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action_id | mustEquals | download |
session_type | mustNotEquals | admin |
asset_objectname | mustObjectHaveTagName | damobject |
Aggregation is then performed on the asset_name or asset_uid field.
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Average percentage: Calculate the average of "playfinish_percentage" over the period.
List of viewed videos: Group by asset_name or asset_uid.
List of fully viewed videos: Add a condition "playfinish_percentage".mustEquals(100) and group by asset_name or asset_uid.
Distribution of views by reference: The complete referer is not exported, only the domain (see next point).
Distribution of views by domain: Group by referer.
Portal
Connections
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session_type | mustEquals | portal |
asset_objectname | mustObjectHaveTag | damobject |
action_id | mustEquals | view |
Number of viewed mediaassets: Sum of the number of rows.
Distribution of media asset views by country: Group by country.
Distribution of media asset views by role: Group by user_role_id.
Distribution of media asset views by asset: Group by asset_objectname.
List of top media asset viewers: Group by surfer_uid.
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In addition to these charts, a chart is displayed for each property that has the tag "analytics_extra" (see Wedia Analytics documentation for the functioning of this tag). No additional queries are applied to these charts. There is also a chart for the property "analytics_surfer_extra" (see Wedia documentation again). |
Downloads
To build eligible charts, in the case of using CSV export, the endpoint is in the following format: /api/wedia/analytics/odataools/dam/csv*
session_type | mustEquals | bo |
asset_objectname | mustObjectHaveTag | damobject |
action_id | mustEquals | download |
Number of downloaded mediaassets: Sum of the number of rows.
Distribution of downloads by country: Group by country.
Distribution of downloads by role: Group by user_role_id.
Distribution of downloads by asset: Group by asset_objectname.
Ranking of users by number of downloads: Group by surfer_id.
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In addition to these charts, a chart is displayed for each property that has the tag "analytics_extra" (see Wedia Analytics documentation for the functioning of this tag). No additional queries are applied to these charts. There is also a chart for the property "analytics_surfer_extra" (see Wedia documentation again). |
Search
The data used to build these charts is not exported.
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To build eligible charts, in the case of using CSV export, the endpoint is in the following format: /api/wedia/analytics/odataools/connexion/csv*
session_type | mustEquals | bo |
Number of logged-in users: Sum of unique values of surfer_uid.
Number of connections: Sum of the number of rows.
Evolution of the number of connections: Sum of the number of rows and distribution per chosen period.
Distribution of connections by location: Group by country.
Distribution of connections by user role: Group by user_role_id.
Views
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session_type | mustEquals | bo |
asset_objectname | mustObjectHaveTag | damobject |
action_id | mustEquals | view |
Number of viewed media: Sum of the number of rows.
Distribution of media views by country: Group by country.
Distribution of media views by role: Group by user_urole_id.
Distribution of media views by asset: Group by asset_objectname.
List of top media viewers: Group by surfer_uid.
| Info |
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In addition to these charts, a chart is displayed for each property that has the tag "analytics_extra" (see Wedia Analytics documentation for the functioning of this tag). No additional queries are applied to these charts. There is also a chart for the property "analytics_surfer_extra" (see Wedia documentation again). |
Downloads
To build eligible charts, in the case of using CSV export, the endpoint is in the following format: /api/wedia/analytics/odataools/dam/csv*
session_type | mustEquals | bo |
asset_objectname | mustObjectHaveTag | damobject |
action_id | mustEquals | download |
Number of downloads: Sum of the number of rows.
Distribution of downloads by country: Group by country.
Distribution of downloads by role: Group by user_role_id.
Distribution of downloads by asset: Group by asset_objectname.
Ranking of users by number of downloads: Group by surfer_uid.
| Info |
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In addition to these charts, a chart is displayed for each property that has the tag "analytics_extra" (see Wedia Analytics documentation for the functioning of this tag). No additional queries are applied to these charts. There is also a chart for the property "analytics_surfer_extra" (see Wedia documentation |
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). |
Search
To build eligible charts, in the case of using CSV export, the endpoint is in the following format: /api/wedia/analytics/odataools/fulltext/csv*
session_type | mustEquals | bo |
asset_objectname | mustObjectHaveTag | damobject |
action_id | mustEquals | search |
Number of searches: Sum of the number of rows.
Distribution of searches by success: Group by actionid.
Distribution of full-text searches by language: Group by fulltextLocales.
Distribution of searches by user: Group by surfer_uid.
Most searched terms in full-text: Group by fulltext.
Filters
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session_type | mustIn | “cdnakamai”,“cdnamazon” |
asset_objectname | mustObjectHaveTag | damobject |
referer | mustNotEquals | “your server name” |
Number of hits: Sum of the number of rows.
Evolution of the number of hits: Sum and distribution per chosen period.
Distribution of hits by country: Group by country.
Distribution of hits by pages: Not exported in the CSV, only reference domains.
Distribution of hits by referring domain: Group by referer.
Distribution of hits by media: Group by asset_name or asset_uid.
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session_type | mustNotEquals | admin |
asset_objectname | mustEquals | monodoc |
Number of created documents: Add a condition "actionid".mustEquals("insert") and sum the number of rows.
Number of users who created a document: Add a condition "actionid".mustEquals("insert") and sum the number of unique values in the surferuid field.
Number of check-ins: Add a condition "actionid".mustEquals("w2p_cico_checkint") and sum the number of rows.
Number of checkouts: Add a condition "actionid".mustEquals("w2p_cico_checkout") and sum the number of rows.
Evolution of the number of created documents: Add a condition "actionid".mustEquals("insert") and distribute by period.
Evolution of the number of compositions: Add a condition "actionid".mustEquals("w2p_user_sendwxml") and distribute by period.
Users with the most check-ins and checkouts: Add a condition "actionid".mustIn("w2p_cico_checkin", "w2p_cico_checkout") and group by the surfer_uid field.
Documents with the most check-ins and checkouts: Add a condition "actionid".mustIn("w2p_cico_checkin", "w2p_cico_checkout") and group by asset_uid or asset_name.
Users who created the most documents: Add a condition "actionid".mustEquals("insert") and group by surfer_uid.
Documents with the most compositions during the period: Add a condition "actionid".mustEquals("w2p_user_sendwxml") and group by asset_uid or asset_name.
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session_type | mustNotEquals | admin |
asset_objectname | mustIn | monodocmodel, zsnippet |
Number of created modelstemplates: Add a condition "actionid".mustEquals("insert") and sum the number of rows.
Number of users who created a modeltemplate: Add a condition "actionid".mustEquals("insert") and sum the number of unique values in the surferuid field.
Number of check-ins: Add a condition "actionid".mustEquals("w2p_cico_checkint") and sum the number of rows.
Number of checkouts: Add a condition "actionid".mustEquals("w2p_cico_checkout") and sum the number of rows.
Users with the most check-ins and checkouts: Add a condition "actionid".mustIn("w2p_cico_checkin", "w2p_cico_checkout") and group by the surfer_uid field.
Models Templates with the most check-ins and checkouts: Add a condition "actionid".mustIn("w2p_cico_checkin", "w2p_cico_checkout") and group by asset_uid or asset_name.
Users who created the most modelstemplates: Add a condition "actionid".mustEquals("insert") and group by surfer_uid.
Most used snippets in a document: Add a condition "objectname".mustEquals("zsnippet") and group by asset_uid or asset_name.
Most used models templates to create a project: Add a condition "actionid".mustEquals("used_media_created") and group by asset_uid or asset_name.
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