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= Design = | = Design = | ||
potential sections | Original design ideas for some potential sections and datapoints. | ||
History & Bookmarks | == History & Bookmarks == | ||
* number of history visits | * number of history visits | ||
SELECT COUNT(1) | SELECT COUNT(1) | ||
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* fav sites (top 5-10, total visits, avg visits per day) | * fav sites (top 5-10, total visits, avg visits per day) | ||
SELECT * | SELECT * | ||
FROM moz_places | FROM moz_places | ||
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LIMIT 10 | LIMIT 10 | ||
avg visits per day | * avg visits per day | ||
* day of week stats (eg: "sat broader, sun has more revisits") - would need total visits (sunday is 0) | |||
* day of week stats (eg: "sat broader, sun has more revisits") | |||
would need total visits (sunday is 0) | |||
SELECT COUNT(1) | SELECT COUNT(1) | ||
FROM moz_historyvisits | FROM moz_historyvisits | ||
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GROUP BY strftime('%w', ROUND(visit_date / 1000000)) | GROUP BY strftime('%w', ROUND(visit_date / 1000000)) | ||
number of unique URLs for each day of the week (sunday is 0) | * number of unique URLs for each day of the week (sunday is 0) | ||
I don't think it is possible to construct a query for this | |||
* graph of history volume over time (visits per week since start of history accumulation) | * graph of history volume over time (visits per week since start of history accumulation) | ||
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** percentage of visits that are bookmarked or tagged pages | ** percentage of visits that are bookmarked or tagged pages | ||
Downloads | == Downloads == | ||
* total bytes downloaded | * total bytes downloaded | ||
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* graph of download activity over time | * graph of download activity over time | ||
Other | == Other == | ||
* avg num open tabs | * avg num open tabs | ||
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