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  1. Guide

    Axis order: identify both CRS and reading contract

    Plausible numbers do not locate a point without CRS, units and software conventions. GDAL and OGC API Features explain why WGS 84 alone does not settle data order.

  2. Guide

    GeoJSON extent: five degrees or almost the world?

    RFC 7946 supplies two extents using the same longitude extremes: 5° across the antimeridian versus 355° the other way. Sorting west and east changes the selected region. The explorer uses these documented examples.

  3. Guide

    Geodesic distance: units, ellipsoid and argument order

    Official GeographicLib examples provide reproducible inputs and outputs on WGS 84. These documented calculations do not route or geocode your addresses.

  4. Guide

    Spatial joins: boundary points can change the result

    Predicate choice changes matches for identical coordinates. The first three rules concern 2D geometry. The illustrative polygon, hole and points represent no actual commune.

  5. Guide

    Unicode normalization: decide what a join may equate

    Visually identical labels can encode different sequences. UAX #15 defines four forms. Ten official cases below come from Unicode 17.0.0 conformance data, explicitly versioned for reproducibility; this does not identify a browser’s Unicode version.

  6. Guide

    Text length: bytes, code points and visible signs differ

    Column length needs a unit. Counts below follow UTF-8 and UTF-16 for four exact sequences, not a user file. One perceived sign may use several code points. Table notation: cp = code points; B = bytes.

  7. Guide

    CSV: a displayed line is not always a record

    Informational RFC 4180 describes a common comma format, not every dialect. Splitting on every comma and newline can destroy cells. Fragments here illustrate syntax, not actual observations.

  8. Guide

    Empty cells: CSV syntax alone does not determine meaning

    W3C CSVW separates string value and semantic value. Quoting an empty string is not a data distinction in that model. These are CSVW rules, not universal SQL or spreadsheet import behavior.

  9. Guide

    JSON: valid text can still lose an identifier

    RFC 8259 defines exchange syntax, not unlimited precision in every reader. Long numeric identifiers may change during parsing, before a spreadsheet display. Examples are teaching forms, not assigned identifiers.

  10. Guide

    Spreadsheet dates: serials need the workbook’s date system

    Microsoft documents 1900 and 1904 systems. Its 5 July 2011 example uses two serials for one date. Inspect workbook settings before comparing extracts; display formatting cannot supply that setting.

  11. Guide

    Outer joins: ON and WHERE do not retain the same rows

    PostgreSQL 18 publishes two three-row teaching tables. The explorer reproduces them for nine join/filter combinations, without real entities or database access. Counts apply only to this published example.

  12. Guide

    SQL NULL: unknown is not another spelling of false

    SQL has three-valued logic. These comparisons and truth-table rules are documented in PostgreSQL 18, independent of any dataset. They explain discarded outer-join rows.

  13. Guide

    Keys and constraints guarantee different things

    An id column is not automatically a primary key. Effective, validated constraints define guarantees. These rules are for PostgreSQL 18; other systems may treat unique-constraint NULLs differently.

  14. Guide

    After a join: count rows, present values or distinct objects

    A total can change because its counting unit differs. PostgreSQL distinguishes input rows, non-null values and distinct values. The explorer shows all three without treating teaching IDs as statistical measurements.

  15. Guide

    JSON Schema: present, non-null and allowed are separate checks

    This reference targets dialect 2020-12, which the validator must support. Fragments are pedagogical. Object rules also assume type: object; required alone does not make arbitrary values objects.

  16. Guide

    PROV provenance: connect version, process and responsibility

    W3C PROV-O describes how documents or data were produced. Arrows follow property direction, not a left-to-right timeline. E0, A and E1 are teaching labels, not real resources.

  17. Guide

    Confusion matrices: identify axes before naming errors

    Automatic citation or answer checks compare a decision with a reference annotation. Separate detection mistakes, annotation mistakes and swapped columns. scikit-learn puts reference labels in rows and predictions in columns; other displays may reverse them. Positive is fixed to 1 here.

  18. Guide

    Precision, recall and false-positive rate use different denominators

    These unweighted binary formulas use a declared positive class. They can evaluate automatic presence annotations, without treating a brand mention as an accurate citation or useful outcome.

  19. Guide

    Change the threshold, keep the same four scores

    The published average_precision_score example has references [0,0,1,1] and scores [0.10,0.40,0.35,0.80]. This explorer uses those exact teaching pairs. Positive means score at least the selected threshold; these are not real agent results or guaranteed calibrated probabilities.

  20. Guide

    ROC AUC and average precision are different ranking summaries

    The official four-pair AP example yields ROC AUC 3/4 and AP 5/6. These are calculations on teaching data, not measured agent performance. They do not change when only the decision threshold changes.

  21. Guide

    Macro, micro and support weighting: five report cases

    Published classification_report compares [0,1,2,2,2] with [0,0,2,2,1]. Scores reproduce two-decimal output; original pairs remain below. This three-class teaching example is separate from the four-score binary explorer.

  22. Guide

    Independent evaluation: splitting cases is not enough after answers influenced tuning

    A score can be optimistic with correct formulas. scikit-learn distinguishes training, tuning and final evaluation. An agent has the same issue when instructions change after repeatedly inspecting a supposed generalization test.

  23. Guide

    Read Core Web Vitals thresholds without inventing a verdict

    LCP, INP and CLS describe three different dimensions of experience. Published thresholds classify a value; they do not turn an isolated test into a representative observation of every visitor.

  24. Guide

    CrUX: separate the window, scope and available observations

    A CrUX response describes an eligible population within a rolling window. Before comparing two p75 values, retain the requested key, devices and returned dates with the result.

Choose a starting point

Check a source

Examine the origin, date, scope and limits of information.

How can I refine the search?
Start with the topic
Enter one or two specific terms: citation, CSV or provenance. Every word must be present, so a long sentence can exclude useful pages.
Broaden before filtering
Search all families first. Then select a guide, protocol or source according to the kind of answer you need.
Try different wording
Try a synonym or a term in the selected language. Quotes, OR and asterisks are not search operators.

DEEPER READING / PRACTICE

Turn internal search into a useful user journey

A query produces several close results. Reading should help to distinguish the need definition folder, detailed method and implementation tool.

Updated on .

Priority checks

Formulate a specific need and then try neighboring terms. Read the descriptions and select the type of resource according to the searched step: understand, run or control.

Interpretation pitfalls

The first result is not always the best document to the context. An absence can come from the vocabulary used rather than a lack of content.

Working record to retain

A short route connects a need definition page, a guide and a checklist. Maintaining unresolved questions helps to rebuild research.

PRACTICAL CASE / WORKED EXAMPLE

A natural requirement does not match the exact title

The following case illustrates an approach to defining the need. Situations are pedagogical: they serve to examine the choices and conditions of success, without describing a fulfilled mission or announcing a guaranteed result.

Example context

A reader is looking for how to check a number, while the resources use the word indicator. The results must allow to continue despite a different formulation of the title.

Suggested approach

Try the neighboring terms and read the descriptions. Differentiate methods of calculation, comparison and verification of sources. Choose the resource that corresponds to the actually sought-by-step.

Conclusion and next step

Research becomes a path of solution. The questions still open serve to clarify the next query instead of multiplying the words without clear intention.

Questions for deeper practice

How do you improve a search without losing the initial need?

Keep the starting question and then specify the object, operation and resource type. Useful results give a complementary vocabulary, but their title should not automatically replace the reader's target.

DETAILED WORKSHOP / APPLICATION

Refine a query for the task to carry out

  1. 01 / Prepare the necessary information

    Describe the initial question and the desired result. Identify the object, operation and type of resource that could help: file, method or tool.

  2. 02 / Carry out the approach

    Try a formulation and read the descriptions. Release the useful terms and test the variants without giving up the intention. Compare the resources found according to their contribution to the route.

  3. 03 / Examine an alternative situation

    If the results are close but too general, specify the operation or scope. A well-classed page is not necessarily the one that meets the searched step.

  4. 04 / Decide on the next step

    Research is useful when it leads to a resource whose response can be identified. Open questions are used to prepare for the next consultation.

  5. 05 / Hand over the verification records

    Keep a short track with request, resource and supplement. The reader can restart his work without repaired the tests that have led to useful content.

ANNOTATED WORKING DOCUMENT / REVIEW GRID

A track record from a request

The note retains question, tried formulations, useful results and next resource. It distinguishes the exploration vocabulary from the initial goal of the reader.

On a small screen, scroll the grid horizontally to read all three columns.

Example situations to assess
ObservationSupported interpretationNext step
A resource responds to the desired operation.The result can serve as a useful step in the course.Keep the passage and choose the necessary supplement.
The results remain general despite the good topic.The request must specify action, object or scope.Try an appropriate formulation without losing the initial question.
The first result has the word but not the answer.The presence of the term does not prove its relevance.Read the descriptions and compare the contribution of resources.

Reviewing the working document

The final verification verifies that each step reduces an open question. A link list is not yet a useful path if the reader cannot explain what each page brings.

REPORTING / EXAMPLE WORDING

Presentation of results: Turn internal search into a useful user journey

Point to clarify

A search result must be judged according to its contribution to the searched operation.

Before handing over

Check that the track keeps the initial question despite the vocabulary variants.

Example of a qualified conclusion

The resource selected meets the described stage of the need. The questions still open guidelines the next consultation and remain distinct from the answer found.