Byline Count per Week Productivity Calculator

Count actual distinct publication records in caller anchored seven-day bins, exposing out-of-window articles; not inferred ISO-week numbering, author credit allocation, productivity quality or an average of unobserved weeks.

Description

Seven-day publication bins can begin on any caller-selected date.

Seven-day publication bins can begin on any caller-selected date. Empty bins and out-of-window records belong in the ledger.1

Enter aligned nonempty unique article IDs/real Gregorian dates1900–2199, start date and integer weeks1–128. Return all bin counts and outside IDs.

When to use Byline Count per Week Productivity Calculator

Use Byline Count per Week Productivity Calculator when you need to evaluate the supplied records under the calculation and evidence rules below. No ISO week numbering, author-credit allocation or productivity quality is inferred.

Prepare the actual editorial, source, layout, timing or audience records requested. Supply explicit house-policy limits and preserve missing evidence.

How to use Byline Count per Week Productivity Calculator and understand its results

  1. Prepare the actual editorial, source, layout, timing or audience records requested. Supply explicit house-policy limits and preserve missing evidence.
  2. Enter articleIds, publicationDates, windowStartDate, windowWeekCount using the field table and calculation rules, then run the tool.
  3. Read bylineCountsBySevenDayBin, observedArticlesOutsideWindow. The explanation below defines the units, signs, ordering and any flags or placeholder values.
  4. If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.
Input fieldMeaningValue type; see rules belowRequirement
articleIdsArticle idslist of stringRequired
publicationDatesPublication dateslist of stringRequired
windowStartDateWindow start datestringRequired
windowWeekCountWindow week countnumberRequired

Enter aligned nonempty unique article IDs/real Gregorian dates1900–2199, start date and integer weeks1–128. Return all bin counts and outside IDs.

bin=floor((publicationDate−startDate)/7)

Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.

Output fieldMeaningValue type
bylineCountsBySevenDayBinByline counts by seven day binlist of number
observedArticlesOutsideWindowObserved articles outside windowlist of string
json
{
  "input": {
    "articleIds": [
      "a",
      "b",
      "c"
    ],
    "publicationDates": [
      "2025-01-01",
      "2025-01-07",
      "2025-01-08"
    ],
    "windowStartDate": "2025-01-01",
    "windowWeekCount": 2
  },
  "output": {
    "bylineCountsBySevenDayBin": [
      2,
      1
    ],
    "observedArticlesOutsideWindow": []
  }
}

Limitations and assumptions

No ISO week numbering, author-credit allocation or productivity quality is inferred.

Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Numeric lists are limited to 10,000 entries; string lists to 128 strings of at most 128 characters each. The rules above may impose smaller limits. Extremely large text inputs are rejected. Missing required fields, extra fields, wrong value types and violations of the calculation rules are input errors.

Alternative or Complementary methods

Use Story Turnaround Hours Beat Average Calculator: Completed-story turnaround differs from unfinished-story exposure. Complete-case averages can hide pending work. For a complementary task, use Paywall Metered Article Count Monthly Tracker: A monthly article meter may count distinct eligible articles rather than repeat reads. The caller resolves civil dates and exemptions.

References

  1. Byline Count per Week Productivity Calculator — tool.io

Similar or alternative tools

Don't forget to set a bookmark for tool.io!
Privacy | Imprint | Cookies