Zambaie border post trade data, Milk SA monthly data · saved 2026-07-14
The PDF could not be made. Try again, or use Print.
Chart copied — paste it into your document.
The chart could not be copied. Wait for it to draw and try again.
Pick a dataset to browse its concepts. Switch to another dataset later to add measures from it — Y-series accumulate across switches.
ASX:zambaie-border-post-trade-data(1.0)
DECLARATION_OFFICE
X / split / filter / count
BORDER_OFFICE
REGISTRATION_DATE
used as X axis
TYPE
DECLARATION_PROCEDURE
EXTENDED_PROCEDURE
not aggregable
COUNTRY_OF_ORIGIN
COUNTRY_OF_DESTINATION
DELIVERY_PLACE
PLACE_OF_LOADING
ITEM_NUMBER
HS_CODE
HS_CODE2
GROSS_WEIGHT_KG
NET_WEIGHT
COUNTRY_VEHICLE_REGISTERED
MODE_OF_TRANSPORT
INVOICE_VALUE_FX
CIF
The dates Inspect reads usual levels from, apart from the chart's own dates. Empty: the chart's dates plus 6 periods either side — the usual level reads no further, so a wider range changes nothing. Narrow it to leave out months that were badly reported. Leads stay inside the chart's dates.
Settings for this series only. The dataset filters still apply to every series.
One date window applied to every picked dataset's period column. Bucket sets how the time axis is grouped.
Please wait…
periods back
Switching the bucket reshapes an already-picked range to match it — month keeps the 1st/last day, year keeps Jan/Dec, sub-day buckets keep 00:00/23:59. Leave a side empty to use the earliest / latest observation.
Your conversations that created this report or discuss it. Open one to continue where you left off.
A chart is one or more series plotted over a shared time axis. Every choice below stays editable after saving.
Pick a measure from any dataset's concept list on the left to add it to Y. Series may come from different datasets — they all align on the same time axis. Each series has its own aggregate (sum, avg, min, max, count).
Splitting one series by a dimension (or CATEGORY) automatically fans it out into one sub-series per value — you don't need to add a series per value yourself. On a stacked bar each value becomes one segment of the pile; on a plain bar each value is its own grouped bar; on a line each value is its own separate line.
Only matters for stacked bars. Series sharing the same stack name pile into one column. Give a series a different stack name to put it in its own column next to the others — e.g. two separate stacked totals side by side on the same chart.
Left or right Y axis. Left blank, series sharing a unit share an axis automatically and the first unit takes the left. Set it explicitly when combining measures with different units, e.g. Kg on the left and R-million on the right.
Bucket sets the X-axis granularity (minute, hour, hour of day, day, week, month, year). Filters restrict a dataset to a dimension's values — use them to isolate the segment a question is about instead of charting everything. Tags are multi-valued, so a tag filter matches a row carrying ANY of the picked values, and splitting by a tag counts a row under each of its tags — per-tag figures are right, but they add up to more than the ungrouped total. The "Peak in a…" aggregates plot the busiest single minute/hour/day instead of the total, which is how a burst that a summed timeline flattens out shows up. Put a dimension on the X axis (e.g. operator) and the tallest bar is whoever concentrated the most activity into one window. The gap aggregates measure the seconds between each observation and the previous one in the same series — median, fastest, and how many arrived under 90 seconds apart. A steady machine-like cadence and a person working in clumps give the same totals; only the spacing tells them apart. Needs a dataset whose period kind is "Date & time", and a short gap is a question to ask about the source system, not a conclusion on its own.
“Zambia Milk Trade vs Milk SA Milk Used by Product Type — Side-by-side 2025” and its saved view will be removed for good. This cannot be undone, and any shared link to it stops working.
They get their own private link by email, with the datasets this report is built from. The report itself stays private — publishing is a separate choice.
Saves the whole selection — series, aggregates, axes, splits, filters and period — plus the list of datasets it uses. This creates a new, separate analysis — “Zambia Milk Trade vs Milk SA Milk Used by Product Type — Side-by-side 2025” is left unchanged.
This chart no longer matches “Zambia Milk Trade vs Milk SA Milk Used by Product Type — Side-by-side 2025” as it is stored.
Loading replaces the current selection and renders the chart immediately.
Loading…