Skip to content
Novus Examples
csv523 B

Juniper Workspace Cloud: Shareholding movement history

Shareholding movement history for Juniper Workspace Cloud. 5 movements in date order: four allotments that raise the shares in issue to 600,000 and one transfer of 18,000 shares from MEM-03 to MEM-02 that leaves the total unchanged. Replaying the movements from zero reproduces every holding in register-of-members.csv, including the certificate cancellations the transfer caused.

csv

text/csv

523 B
Document Set
corporate
Industry
software
Source Kit
saas-subscriptions
Entity
Juniper Workspace Cloud
Synthetic
true
As Of
2026-09-08

Binary csv: no in-browser preview. Download it above to open in a compatible application.

Specifications

Document Set
corporate
Industry
software
Source Kit
saas-subscriptions
Entity
Juniper Workspace Cloud
Synthetic
true
As Of
2026-09-08
Rows
5
Allotments
4
Transfers
1
Closing Shares
600000
Naming Trap
summing the shares column double counts the transfer

Testing contract

Expected to pass
Scenario
Replay the movements from an empty register and compare the result with register-of-members.csv.
Expected result
The replay gives MEM-01 300,000, MEM-02 180,000, MEM-03 60,000 and MEM-04 60,000, which is the register exactly, and the closing shares_in_issue_after is 600,000. The transfer row leaves the total unchanged, so a reader that adds every shares column gets 618,000 rather than 600,000.

What is a .csv file?

CSV (Comma-Separated Values) is a plain-text tabular format where rows are lines and fields are separated by commas, with quoting rules for values that contain delimiters, quotes, or newlines. It has no formal type system and depends on encoding and dialect conventions. It is the most portable format for tabular data exchange.

How to use this file

Use an example CSV to test parsers against quoting and embedded-delimiter edge cases, header handling, encoding detection, and import pipelines into databases or spreadsheets.

How to use this file for testing

“Juniper Workspace Cloud: Shareholding movement history” is a deterministic Novus Examples fixture for Data import, CSV parsing. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.

Documented properties for this file: 5 rows. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.

Data fixtures document their exact quirks (delimiters, encodings, null handling, schema, and row counts) in the spec table. Point your parser or importer at the file and assert it handles the documented edge cases; clean and deliberately-messy siblings make before/after diffs straightforward.

Code examples

import pandas as pd

df = pd.read_csv("shareholding-history.csv")
print(df.head())
print(df.dtypes)

Generated by generation/industry_documents_two.py. Free for any use, no attribution required, license.