I work with state labor data which is reported to us in the form
industry, year, quarter1, quarter2, quarter3, quarter4
where each quarter represents an employment count. Obviously, this can
be normalized to
industry, year, quarter, employment
Can anyone comment on, or point to
Hello
2010/3/2 Lee Hachadoorian lee.hachadoor...@gmail.com:
I work with state labor data which is reported to us in the form
industry, year, quarter1, quarter2, quarter3, quarter4
where each quarter represents an employment count. Obviously, this can
be normalized to
On Tue, Mar 2, 2010 at 11:21 AM, Lee Hachadoorian
lee.hachadoor...@gmail.com wrote:
I work with state labor data which is reported to us in the form
industry, year, quarter1, quarter2, quarter3, quarter4
where each quarter represents an employment count. Obviously, this can
be
Lee Hachadoorian wrote:
I work with state labor data which is reported to us in the form
industry, year, quarter1, quarter2, quarter3, quarter4
where each quarter represents an employment count. Obviously, this can
be normalized to
industry, year, quarter, employment
Can
Pavel, the idea of using arrays to store long time-series data sounds
good, but I take your point that normalized tables might be better and
are easier to query. I suppose the choice will be between normalizing
or using the denormalized
industry int,
year smallint,
emp_q1 int,
emp_q2 int,
