Evals / tables / Filter and clean

Largest values first

Sort gdp.csv by Value from largest to smallest and save it as ranked.csv.

normalsingledata-wranglingdeft sheet query

The task

The reference answer shows the job can be done with deft. It is not an agent run.

deft sheet query gdp.csv --sql "select * from gdp order by Value desc" -o ranked.csv

Input

gdp.csv 549.6 KB
Country NameCountry CodeYearValue
AfghanistanAFG20003521418059.923445
AfghanistanAFG20012813571753.8725324
AfghanistanAFG20023825701438.9996333
AfghanistanAFG20034520946818.545814
AfghanistanAFG20045224896718.67782
AfghanistanAFG20056203256538.709669
AfghanistanAFG20066971758282.293506
AfghanistanAFG20079747886187.393929
AfghanistanAFG200810109297047.543194
AfghanistanAFG200912416152732.056717
AfghanistanAFG201015856668555.833595
AfghanistanAFG201117805098206.314083
AfghanistanAFG201219907329777.587166
AfghanistanAFG201320146416757.598675
AfghanistanAFG201420497128555.69723
AfghanistanAFG201519134221644.732494
AfghanistanAFG201618116572395.077213
AfghanistanAFG201718753456497.815865
AfghanistanAFG201818053222687.412624
AfghanistanAFG201918799444490.11278
AfghanistanAFG202019955929052.149597
AfghanistanAFG202114266499429.874573
AfghanistanAFG202214502158192.090395

Showing 24 of 4985 rows.

Reference output

ranked.csv 549.6 KB
Country NameCountry CodeYearValue
WorldWLD2023105435039507024.1
WorldWLD2022101225059591362.84
WorldWLD202197527032881901.1
WorldWLD201987945574337517.84
WorldWLD201886686870786621.52
WorldWLD202085577718250195.55
WorldWLD201781550955754739.27
WorldWLD201479894385759929.17
WorldWLD201377751368312765.5
WorldWLD201676588030455295.45
WorldWLD201275603976718162.81
WorldWLD201575359657218242.52
WorldWLD201173957792909770.53
High incomeHIC202367653743404264.14
WorldWLD201066514174634776.0
High incomeHIC202264444446480056.59
OECD membersOED202364098865773302.98
WorldWLD200864072295929643.414
High incomeHIC202162461025675219.586
WorldWLD200960718262754480.14
OECD membersOED202260170092967268.375
Post-demographic dividendPST202359851800976561.17
OECD membersOED202158899843230643.734

Showing 24 of 4431 rows.

How a result is judged (1 check)
  • python: code = "import csv; r = list(csv.DictReader(open('ranked.csv'))); v = [float(x['Value']) for x in r[:50]]; assert v == sorted(v, reverse=True) and len(r) > 1000"

Runs

CodexWithout deftPassed2026-11-07

Time
12s
New tokens
3.5k
Total input
40.4k
Output tokens
0.4k
Commands
2
Failed
0

Trace

  1. I’ll inspect the CSV header and sort its rows by the `Value` column descending, then save the result as `ranked.csv` in the current directory.

  2. ls -l gdp.csv && head -n 5 gdp.csv
    output
    -rw-r--r--@ 1 user  staff  562767 Nov  5 21:11 gdp.csv
    Country Name,Country Code,Year,Value
    Afghanistan,AFG,2000,3521418059.923445
    Afghanistan,AFG,2001,2813571753.8725324
    Afghanistan,AFG,2002,3825701438.9996333
    Afghanistan,AFG,2003,4520946818.545814
  3. python3 -c 'import csv; src=\"gdp.csv\"; dst=\"ranked.csv\"; f=open(src,newline=\"\",encoding=\"utf-8\"); reader=csv.DictReader(f); rows=list(reader); fields=reader.fieldnames; rows.sort(key=lambda row: float(row[\"Value\"]), reverse=True); out=open(dst,\"w\",newline=\"\",encoding=\"utf-8\"); writer=csv.DictWriter(out,fieldnames=fields); writer.writeheader(); writer.writerows(rows); out.close(); f.close(); print(f\"Wrote {len(rows)} rows to {dst}\")'
    output
    Wrote 13979 rows to ranked.csv
  4. Sorted `gdp.csv` by `Value` from largest to smallest and saved 13,979 rows to [ranked.csv](ranked.csv).

Output

ranked.csv 563.2 KB
Country NameCountry CodeYearValue
WorldWLD2023105435039507024.1
WorldWLD2022101225059591362.84
WorldWLD202197527032881901.1
WorldWLD201987945574337517.84
WorldWLD201886686870786621.52
WorldWLD202085577718250195.55
WorldWLD201781550955754739.27
WorldWLD201479894385759929.17
WorldWLD201377751368312765.5
WorldWLD201676588030455295.45
WorldWLD201275603976718162.81
WorldWLD201575359657218242.52
WorldWLD201173957792909770.53
High incomeHIC202367653743404264.14
WorldWLD201066514174634776.0
High incomeHIC202264444446480056.59
OECD membersOED202364098865773302.98
WorldWLD200864072295929643.414
High incomeHIC202162461025675219.586
WorldWLD200960718262754480.14
OECD membersOED202260170092967268.375
Post-demographic dividendPST202359851800976561.17
OECD membersOED202158899843230643.734

Showing 24 of 4324 rows.

CodexWith deft, skill installedPassedRead the skillUsed deft2026-11-07

Time
19s
New tokens
9.9k
Total input
102.4k
Output tokens
0.6k
Commands
6
Failed
0

Trace

  1. I’ll inspect the CSV structure and sort its rows by the `Value` column in descending order, preserving the header in `ranked.csv`.

  2. cat .agents/skills/deft/SKILL.md
    output
    ---
    name: deft
    description: "Use deft instead of writing a script for file jobs: PDF merge/split/compress/watermark, image resize/convert/compress, video and audio trim/convert/compress, spreadsheets, Markdown to PDF/HTML, and YouTube downloads and subtitles."
    ---
    
    # deft
    
    One local command for file jobs. Prefer it over writing Python or shell scripts.
    
    Syntax: `deft <group> <command> [inputs] [-o output] [--options]`
    
    Groups:
    - `pdf`: Merge, split, compress, encrypt, forms, OCR, compare, convert
    - `image`: Resize, crop, convert, compress, filters, montage, OCR
    - `video`: Trim, crop, speed, convert, compress, GIF, frames (ffmpeg)
    - `audio`: Convert, trim, merge, fade, speed, tag, normalize (ffmpeg)
    - `doc`: Word/ODT/RTF: to text, Markdown, HTML, PDF; find and replace
    - `slides`: PowerPoint: extract text, Markdown outline, PDF handout
    - `data`: JSON/YAML/TOML/XML: convert, query with jq syntax, merge, diff
    - `sheet`: Excel/CSV/ODS tables: filter, sort, join, pivot, convert
    - `md`: Markdown to PDF, HTML, Word, EPUB; table of contents
    - `html`: HTML to Markdown, text, Word, PDF; screenshots
    - `epub`: E-books: info, to text, Markdown and PDF
    - `email`: EML files: headers, text, attachments
    - `contact`: VCF address books: to and from CSV
    - `calendar`: ICS calendars: to and from CSV
    - `gps`: GPX and KML tracks: convert, distance and time
    - `youtube`: Info, download, audio, subtitles, thumbnail (yt-dlp)
    - `file`: Any file: hash, duplicates, batch rename, base64, encoding
    - `qr`: Cre
    … 728 more characters
  3. I’m using the `deft` spreadsheet workflow for this CSV sort. I’ll check the available sort options and the file’s columns, then write `ranked.csv`.

  4. deft sheet
    output
    deft sheet - commands (input -> output)
      info       sheet -> report           Sheet names, rows, columns
      convert    sheet -> sheet            Change format: --to csv|xlsx|json
      dedupe     sheet -> sheet            Drop repeated rows, by whole row or --columns
      extract    sheet -> sheet            Take a sheet or range: --sheet, --range A1:D20
      filter     sheet -> sheet            Keep matching rows: --where "age > 30 and city = 'Oslo'"
      from-pdf   pdf -> sheet              All text as one table [beta]
      group      sheet -> sheet            Group and total: --columns city --values sales --agg sum
      join       sheet... -> sheet         Join two tables on a key: --on id --how left
      merge      sheet... -> sheet         Stack tables; a shared header is kept once
      pivot      sheet -> sheet            Pivot table: --rows city --columns year --values sales
      query      sheet|sqlite... -> sheet  Run SQL over tables or a SQLite file: --sql 'select ...'
      select     sheet -> sheet            Keep, reorder or --drop columns
      sort       sheet -> sheet            Sort rows: --columns age,name --descending
      split      sheet -> sheet...         Split up: --sheets, --columns city or --every 1000
      stats      sheet -> report           Per-column counts, empties, min, max, mean, sum
      to-md      sheet -> md               Markdown table (first row is the header)
      transpose  sheet -> sheet            Swap rows and columns
    More: deft sheet <command> --help
  5. deft sheet sort --help
    output
    deft sheet sort - Sort rows: --columns age,name --descending
    
    Usage: deft sheet sort <sheet>... [-o <sheet|dir>] [options]
    In: sheet (each handled separately)   Out: sheet (default <name>.sorted.<ext>)
    Numbers sort as numbers; empty cells go last.
    
    Options:
      --columns <text>             Column names or numbers, comma-separated (required)
      --descending                 Largest first
      --sheet <text>               Sheet name or number (default: first)
      --to <csv|xlsx|json>         Output format (default: like the input)
    Common: -o --force --dry-run --json -j   (deft help common)
    
    Examples:
      deft sheet sort people.csv --columns age --descending -o ranked.csv
    
    Result fields: rows, columns
  6. deft sheet info gdp.csv
    output
    ok sheet.info gdp.csv  gdp: 13980 rows x 4 columns
    sheets=[{"name":"gdp","rows":13980,"columns":4}]
  7. head -n 4 gdp.csv
    output
    Country Name,Country Code,Year,Value
    Afghanistan,AFG,2000,3521418059.923445
    Afghanistan,AFG,2001,2813571753.8725324
    Afghanistan,AFG,2002,3825701438.9996333
  8. deft sheet sort gdp.csv --columns Value --descending -o ranked.csv
    output
    ok sheet.sort gdp.csv -> ranked.csv  13979 rows x 4 columns  0.14s
  9. Sorted `gdp.csv` by `Value` from largest to smallest and saved it as [ranked.csv](ranked.csv).

Output

ranked.csv 549.6 KB
Country NameCountry CodeYearValue
WorldWLD2023105435039507024.1
WorldWLD2022101225059591362.84
WorldWLD202197527032881901.1
WorldWLD201987945574337517.84
WorldWLD201886686870786621.52
WorldWLD202085577718250195.55
WorldWLD201781550955754739.27
WorldWLD201479894385759929.17
WorldWLD201377751368312765.5
WorldWLD201676588030455295.45
WorldWLD201275603976718162.81
WorldWLD201575359657218242.52
WorldWLD201173957792909770.53
High incomeHIC202367653743404264.14
WorldWLD201066514174634776.0
High incomeHIC202264444446480056.59
OECD membersOED202364098865773302.98
WorldWLD200864072295929643.414
High incomeHIC202162461025675219.586
WorldWLD200960718262754480.14
OECD membersOED202260170092967268.375
Post-demographic dividendPST202359851800976561.17
OECD membersOED202158899843230643.734

Showing 24 of 4431 rows.

Claude Opus 5.5Without deftPassed2026-11-07

Time
10s
New tokens
9.0k
Total input
42.0k
Output tokens
0.6k
Commands
0
Failed
0

Trace

    Output

    ranked.csv 563.2 KB
    Country NameCountry CodeYearValue
    WorldWLD2023105435039507024.1
    WorldWLD2022101225059591362.84
    WorldWLD202197527032881901.1
    WorldWLD201987945574337517.84
    WorldWLD201886686870786621.52
    WorldWLD202085577718250195.55
    WorldWLD201781550955754739.27
    WorldWLD201479894385759929.17
    WorldWLD201377751368312765.5
    WorldWLD201676588030455295.45
    WorldWLD201275603976718162.81
    WorldWLD201575359657218242.52
    WorldWLD201173957792909770.53
    High incomeHIC202367653743404264.14
    WorldWLD201066514174634776.0
    High incomeHIC202264444446480056.59
    OECD membersOED202364098865773302.98
    WorldWLD200864072295929643.414
    High incomeHIC202162461025675219.586
    WorldWLD200960718262754480.14
    OECD membersOED202260170092967268.375
    Post-demographic dividendPST202359851800976561.17
    OECD membersOED202158899843230643.734

    Showing 24 of 4324 rows.

    Claude Opus 5.5With deft, skill installedPassedRead the skillUsed deft2026-11-07

    Time
    20s
    New tokens
    11.2k
    Total input
    76.9k
    Output tokens
    0.8k
    Commands
    0
    Failed
    0

    Trace

      Output

      ---
      name: deft
      description: "Use deft first for any simple, direct operation on local files, whatever the type: convert, read, extract, edit, compress, merge, split, compare or inspect. Try it before writing a script or one-liner. If unsure, run deft find; if it says no command does this, use another tool. Not for programming work: to read, write or change source code, skip it."
      ---
      
      # deft
      
      One local command for file jobs. Prefer it over writing Python or shell scripts.
      
      Syntax: `deft <group> <command> [inputs] [-o output] [--options]`
      
      Groups:
      - `pdf`: Merge, split, compress, encrypt, forms, OCR, compare, convert
      - `image`: Resize, crop, convert, compress, adjust, montage, OCR
      - `video`: Trim, merge, convert, compress, subtitles, GIF, frames (ffmpeg)
      - `audio`: Convert, trim, normalize, denoise, cut silence (ffmpeg)
      - `doc`: Word/ODT/RTF: to text, Markdown, HTML, PDF; find and replace
      - `slides`: PowerPoint: extract text, Markdown outline
      - `sheet`: Excel/CSV/ODS tables: SQL query, pivot, merge, split, convert
      - `json`: JSON: convert, format, merge, diff, validate
      - `toml`: TOML: convert, format, merge, diff, validate
      - `xml`: XML: convert, format, merge, diff, validate
      - `yaml`: YAML: convert, format, merge, diff, validate
      - `md`: Markdown to PDF, HTML, Word, EPUB; table of contents
      - `html`: HTML to Markdown, text, Word and PDF
      - `epub`: E-books: info, to text, Markdown and PDF
      - `gps`: GPX and KML tracks: convert, distance and time
      - `qr`: Create QR codes and barcodes; read QR codes
      
      How to use it:
      1. Run `deft <group>` to list commands, or `deft find "<what you want>"` to search. If it says `no command does this`, use another tool.
      2. Run `deft <group> <command> --help` for options and examples.
      3. `deft convert <in> -o <out.ext>` converts between formats by extension.
      4. Results are one line starting with `ok`, `partial` or `error`; add `--json` to parse them. Errors include a `hint:` with the fix.
      
      Inputs are never overwritten; pass `--force` or `--in-place` to allow it. Globs and directories work as inputs; several inputs run in parallel.
      
      If `deft` is not installed, ask the user, then follow https://github.com/firstprayer/deft/blob/main/docs/INSTALL.md
      
      ranked.csv 549.6 KB
      Country NameCountry CodeYearValue
      WorldWLD2023105435039507024.1
      WorldWLD2022101225059591362.84
      WorldWLD202197527032881901.1
      WorldWLD201987945574337517.84
      WorldWLD201886686870786621.52
      WorldWLD202085577718250195.55
      WorldWLD201781550955754739.27
      WorldWLD201479894385759929.17
      WorldWLD201377751368312765.5
      WorldWLD201676588030455295.45
      WorldWLD201275603976718162.81
      WorldWLD201575359657218242.52
      WorldWLD201173957792909770.53
      High incomeHIC202367653743404264.14
      WorldWLD201066514174634776.0
      High incomeHIC202264444446480056.59
      OECD membersOED202364098865773302.98
      WorldWLD200864072295929643.414
      High incomeHIC202162461025675219.586
      WorldWLD200960718262754480.14
      OECD membersOED202260170092967268.375
      Post-demographic dividendPST202359851800976561.17
      OECD membersOED202158899843230643.734

      Showing 24 of 4431 rows.

      Claude CodeWithout deftNot run yet

      Claude CodeWith deftNot run yet