Tidy dataset

5. Defendants finalised, Victoria (Tables 27 to 32) — Table 28

A tidy Criminal Courts, Australia table with 336 rows. It reports recorded values by method of finalisation and offence category.

Status
approved
Publisher
Australian Bureau of Statistics
Release
2024-25
License
CC-BY-4.0

View the recorded source

Data preview

Showing the first 30 of 336 rows
5Acquitted01 Homicide(c)01 Homicide(c)
105Guilty outcome 01 Homicide(c)01 Homicide(c)
113Total adjudicated(a)01 Homicide(c)01 Homicide(c)
17Transfer to other court levels01 Homicide(c)01 Homicide(c)
9Withdrawn by prosecution01 Homicide(c)01 Homicide(c)
139Total(b)01 Homicide(c)01 Homicide(c)
0Acquitted011 Murder 01 Homicide(c)
25Guilty outcome 011 Murder 01 Homicide(c)
30Total adjudicated(a)011 Murder 01 Homicide(c)
3Transfer to other court levels011 Murder 01 Homicide(c)
0Withdrawn by prosecution011 Murder 01 Homicide(c)
36Total(b)011 Murder 01 Homicide(c)
0Acquitted012 Attempted murder01 Homicide(c)
3Guilty outcome 012 Attempted murder01 Homicide(c)
3Total adjudicated(a)012 Attempted murder01 Homicide(c)
0Transfer to other court levels012 Attempted murder01 Homicide(c)
5Withdrawn by prosecution012 Attempted murder01 Homicide(c)
3Total(b)012 Attempted murder01 Homicide(c)
3Acquitted013 Manslaughter or driving causing death01 Homicide(c)
73Guilty outcome 013 Manslaughter or driving causing death01 Homicide(c)
80Total adjudicated(a)013 Manslaughter or driving causing death01 Homicide(c)
10Transfer to other court levels013 Manslaughter or driving causing death01 Homicide(c)
3Withdrawn by prosecution013 Manslaughter or driving causing death01 Homicide(c)
98Total(b)013 Manslaughter or driving causing death01 Homicide(c)
41Acquitted02 Assault02 Assault
9311Guilty outcome 02 Assault02 Assault
9355Total adjudicated(a)02 Assault02 Assault
72Transfer to other court levels02 Assault02 Assault
3679Withdrawn by prosecution02 Assault02 Assault
13100Total(b)02 Assault02 Assault

Get the data

Open in Query with this immutable dataset version and a starter SQL query.

Copy-paste a stable URL

import pandas as pd

df = pd.read_csv("https://data.tidybank.net/data/abs/criminal-courts-australia/2024-25/table-28/tidy.csv")

Schema and semantics

Column Type Unit Semantic role Join key Distinct / range
row number attribute No
col number attribute No
address string attribute No
.value number measure No
method_of_finalisation string dimension No
method_of_finalisation_source string attribute No
principal_offence string attribute No
principal_offence_source string attribute No
offence_category string dimension No
offence_category_source string attribute No

How it was tidied

Quality checks

CheckStatusDetail
recipe-validation pass
execution-warnings pass
non-empty-output pass
header-name-uniqueness pass

Generated by seeded ; pipeline version 0.1.0.

Open in Workspace

Coverage and lineage

Release position
1 of 1
Retrieved
2026-07-17T12:29:54.070Z
Availability
unchecked
Workbook checksum
sha256:72ec681f739e101be45b1d7bb722e0f77af35de35e01af0863f0014491f720e4

Source: https://github.com/ianmoran11/tidycell/commit/bae39c514e173be8a5b7f80ccc0fc5f3a3b54402#tidycell-path=abs-spreadsheets%2Fpeople%2Fcrime-and-justice%2Fcriminal-courts-australia%2Flatest-release%2F5.%20Defendants%20finalised-%20Victoria%20-Tables%2027%20to%2032-.xlsx

Other approved releases