DataView
A data processing toolkit for ingesting, transforming, querying, and managing data entries from the command line. All operations are logged with timestamps and stored locally.
Commands
Data Operations
Each data command works in two modes: run without arguments to view recent entries, or pass input to record a new entry.
| Command |
Description |
dataview ingest <input> |
Ingest data — record a new ingest entry or view recent ones |
dataview transform <input> |
Transform data — record a transformation or view recent ones |
dataview query <input> |
Query data — record a query or view recent ones |
dataview filter <input> |
Filter data — record a filter operation or view recent ones |
dataview aggregate <input> |
Aggregate data — record an aggregation or view recent ones |
dataview visualize <input> |
Visualize data — record a visualization or view recent ones |
dataview export <input> |
Export data — record an export entry or view recent ones |
dataview sample <input> |
Sample data — record a sample or view recent ones |
dataview schema <input> |
Schema management — record a schema entry or view recent ones |
dataview validate <input> |
Validate data — record a validation or view recent ones |
dataview pipeline <input> |
Pipeline management — record a pipeline step or view recent ones |
dataview profile <input> |
Profile data — record a profile or view recent ones |
Utility Commands
| Command |
Description |
dataview stats |
Show summary statistics — entry counts per category, total entries, disk usage |
dataview export <fmt> |
Export all data to a file (formats: json, csv, txt) |
dataview search <term> |
Search all log files for a term (case-insensitive) |
dataview recent |
Show last 20 entries from activity history |
dataview status |
Health check — version, data directory, entry count, disk usage, last activity |
dataview help |
Show available commands |
dataview version |
Show version (v2.0.0) |
Data Storage
All data is stored locally at ~/.local/share/dataview/:
- Each data command writes to its own log file (e.g.,
ingest.log, transform.log)
- Entries are stored as
timestamp|value pairs (pipe-delimited)
- All actions are tracked in
history.log with timestamps
- Export generates files in the data directory (
export.json, export.csv, or export.txt)
Requirements
- Bash (with
set -euo pipefail)
- Standard Unix utilities:
date, wc, du, grep, tail, cat, sed
- No external dependencies or API keys required
When to Use
- To log and track data processing operations (ingest, transform, query, etc.)
- To maintain a searchable history of data viewing and analysis activities
- To export accumulated records in JSON, CSV, or plain text format
- As part of larger automation or data inspection workflows
- When you need a lightweight, local-only data operation tracker
Examples
# Record a new ingest entry
dataview ingest "loaded sales_report.csv 2500 rows"
# View recent transform entries
dataview transform
# Record a query
dataview query "top 10 products by revenue"
# Filter data
dataview filter "region=APAC"
# Search across all logs
dataview search "sales"
# Export everything as CSV
dataview export csv
# Check overall statistics
dataview stats
# View recent activity
dataview recent
# Health check
dataview status
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1---2name: dataview3description: Explore CSV and JSON files with quick queries, filters, and aggregation. Use when inspecting data, running queries, filtering rows, aggregating.4---5
6# DataView
7
8A data processing toolkit for ingesting, transforming, querying, and managing data entries from the command line. All operations are logged with timestamps and stored locally.
9
10## Commands
11
12### Data Operations
13
14Each data command works in two modes: run without arguments to view recent entries, or pass input to record a new entry.
15
16| Command | Description |
17|---------|-------------|
18| `dataview ingest <input>` | Ingest data — record a new ingest entry or view recent ones |
19| `dataview transform <input>` | Transform data — record a transformation or view recent ones |
20| `dataview query <input>` | Query data — record a query or view recent ones |
21| `dataview filter <input>` | Filter data — record a filter operation or view recent ones |
22| `dataview aggregate <input>` | Aggregate data — record an aggregation or view recent ones |
23| `dataview visualize <input>` | Visualize data — record a visualization or view recent ones |
24| `dataview export <input>` | Export data — record an export entry or view recent ones |
25| `dataview sample <input>` | Sample data — record a sample or view recent ones |
26| `dataview schema <input>` | Schema management — record a schema entry or view recent ones |
27| `dataview validate <input>` | Validate data — record a validation or view recent ones |
28| `dataview pipeline <input>` | Pipeline management — record a pipeline step or view recent ones |
29| `dataview profile <input>` | Profile data — record a profile or view recent ones |
30
31### Utility Commands
32
33| Command | Description |
34|---------|-------------|
35| `dataview stats` | Show summary statistics — entry counts per category, total entries, disk usage |
36| `dataview export <fmt>` | Export all data to a file (formats: `json`, `csv`, `txt`) |
37| `dataview search <term>` | Search all log files for a term (case-insensitive) |
38| `dataview recent` | Show last 20 entries from activity history |
39| `dataview status` | Health check — version, data directory, entry count, disk usage, last activity |
40| `dataview help` | Show available commands |
41| `dataview version` | Show version (v2.0.0) |
42
43## Data Storage
44
45All data is stored locally at `~/.local/share/dataview/`:
46
47- Each data command writes to its own log file (e.g., `ingest.log`, `transform.log`)
48- Entries are stored as `timestamp|value` pairs (pipe-delimited)
49- All actions are tracked in `history.log` with timestamps
50- Export generates files in the data directory (`export.json`, `export.csv`, or `export.txt`)
51
52## Requirements
53
54- Bash (with `set -euo pipefail`)
55- Standard Unix utilities: `date`, `wc`, `du`, `grep`, `tail`, `cat`, `sed`
56- No external dependencies or API keys required
57
58## When to Use
59
60- To log and track data processing operations (ingest, transform, query, etc.)
61- To maintain a searchable history of data viewing and analysis activities
62- To export accumulated records in JSON, CSV, or plain text format
63- As part of larger automation or data inspection workflows
64- When you need a lightweight, local-only data operation tracker
65
66## Examples
67
68```bash
69# Record a new ingest entry
70dataview ingest "loaded sales_report.csv 2500 rows"
71
72# View recent transform entries
73dataview transform
74
75# Record a query
76dataview query "top 10 products by revenue"
77
78# Filter data
79dataview filter "region=APAC"
80
81# Search across all logs
82dataview search "sales"
83
84# Export everything as CSV
85dataview export csv
86
87# Check overall statistics
88dataview stats
89
90# View recent activity
91dataview recent
92
93# Health check
94dataview status
95```
96
97---
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