6.3.5 Other fundamental reporting concepts
Some other important reporting concepts are:
Assumptions that went into the  analysis should be clearly stated
.  Only if your
assumptions are clearly stated can your readers understand your interpretation of
price behavior.
The degree of confidence in the  analysis and results should also be clearly
.  Given the quality of data that is usually available, you need to clearly
state your impression of the accuracy of you results.  This honesty and
transparency will make you a more reliable analyst.
Collaborator and data providers should be clearly identified
.  Often our work is
a team effort, and our collaborators (both that provide data and assist with the
analysis) need to be acknowledged.
The degree of specificity in reporting numbers is important to consider
.  It is
important that the level of specificity reflect both the quality and significance of
the data. For example, including decimals for data that are not accurate or
variables that are calculated using relatively poor data would be inappropriate.  If
you  are trying to make a point about the percent change of prices from one
month to the next, it would be better to report 20% as opposed to 20.23%.  The
decimals would imply better quality data and more specificity than is possible.
6.4 Reporting formats and suggestions
6.4.1 Suggested presentation formats
Tables, graphs, and maps that clearly illustrate the points the analyst is making should
accompany price reporting.  Tables can show the rate of change from the previous month of
the current data compared to last year and an average year.  Graphs can show temporal price
trends.  A map can show spatial patterns of price behavior.  Finally, a combination of various
formats can integrate several of these temporal and spatial concepts.   The examples below
are drawn from other parts of this manual.  Although the presentations below are too small,
they are meant to illustrate the different presentation formats.
A comparison of millet and white sorghum prices in 
The behavior of millet and white sorghum prices in this market, with
a few exceptions, illustrates an identifiable pattern.  After the harvest,
Abeche, Chad (1990 to 1997)
prices normally increase throughout the agricultural season until they
peak in either May or June.  This rise in prices reflects either an
increase in demand or a decrease in supply.  The peak in millet and
white sorghum prices usually occurs in advance of the harvest,
implying that traders are providing an early indication of the quality
of the millet and white sorghum harvest prospects.  Normally millet
and white sorghum prices in this market decline after the peak until
the harvest has been completed (December or January).
The behavior of millet and sorghum prices in this market generally
follows this pattern.  Still, there are some interesting departures from
this pattern.  For example, the price of both millet and white sorghum
in 1990 in Abeche did not peak, as usual, in May or June, but
continued to rise until the harvest.  The continual rise in prices might
have signaled either trader uncertainty of the quality towards the
upcoming harvest or that traders perceived that the harvest would be

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