Evals / tables / Analyse

Totals per group

Add up Value for each Year in gdp.csv and save the totals as per-year.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 Year, sum(Value) as Value from gdp group by Year order by Year" -o per-year.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

YearValue
19609940146901453.5
196110431373800760.1
196211107920701138.8
196312024266177274.1
196413270687512845.4
196514556657260112.7
196615645181746578.9
196716580380159389.3
196817839694577457.9
196919728317147812
197021715158708429
197123903916492376.3
197227600409301028.3
197333850699517320.9
197439371484221204.9
197544176959007771.4
197647749276390027.4
197753958696974536.7
197863061369954035.3
197973955359933978.9
198084377400197205.5
198187317977608829.9
198285943726521367.9

Showing 24 of 65 rows.

How a result is judged (1 check)
  • csv: file = "per-year.csv", columns = 2

Runs

CodexWithout deftPassed2026-11-07

Time
13s
New tokens
3.9k
Total input
54.0k
Output tokens
0.4k
Commands
3
Failed
0

Trace

  1. I’ll inspect the CSV headers and rows, then sum `Value` by `Year` and write `per-year.csv` in the current directory.

  2. pwd && rg --files -g 'gdp.csv' -g 'per-year.csv'
    output
    gdp.csv
  3. head -n 8 gdp.csv && wc -l gdp.csv
    output
    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
    Afghanistan,AFG,2004,5224896718.67782
    Afghanistan,AFG,2005,6203256538.709669
    Afghanistan,AFG,2006,6971758282.293506
       13979 gdp.csv
  4. python3 - <<'PY' import csv from collections import defaultdict from decimal import Decimal sums = defaultdict(Decimal) with open('gdp.csv', newline='', encoding='utf-8-sig') as f: reader = csv.DictReader(f) for row in reader: sums[row['Year']] += Decimal(row['Value']) with open('per-year.csv', 'w', newline='', encoding='utf-8') as f: writer = csv.writer(f) writer.writerow(['Year', 'Value']) for year in sorted(sums, key=int): writer.writerow([year, format(sums[year], 'f')]) print(f'Wrote {len(sums)} yearly totals to per-year.csv') PY head -n 5 per-year.csv && tail -n 3 per-year.csv
    output
    Wrote 64 yearly totals to per-year.csv
    Year,Value
    1960,9940146901453.497643636
    1961,10431373800760.141361371
    1962,11107920701138.818373020
    1963,12024266177274.141863954
    2021,804682961797170.21171958
    2022,836222292702314.19790341
    2023,869835019902455.581596936
  5. Summed `Value` for each year and saved 64 yearly totals to [per-year.csv](per-year.csv).

Output

YearValue
19609940146901453.497643636
196110431373800760.141361371
196211107920701138.818373020
196312024266177274.141863954
196413270687512845.441672564
196514556657260112.655892625
196615645181746578.892010217
196716580380159389.291262233
196817839694577457.922919765
196919728317147811.993456441
197021715158708428.957462811
197123903916492376.269630717
197227600409301028.3479189906
197333850699517320.9319518957
197439371484221204.889989758
197544176959007771.4258441205
197647749276390027.364261043
197753958696974536.7413766226
197863061369954035.330914486
197973955359933978.872732812
198084377400197205.496644574
198187317977608829.859647907
198285943726521367.918899881

Showing 24 of 65 rows.

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

Time
15s
New tokens
9.3k
Total input
72.1k
Output tokens
0.4k
Commands
6
Failed
0

Trace

  1. I’ll inspect the CSV headers and rows, then write one summed total per year to `per-year.csv` in the current directory.

  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 applying the `deft` skill for this CSV task. I’ll check its table aggregation options and the input structure, then create the output.

  4. head -5 gdp.csv
    output
    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
  5. 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
  6. rg --files -g 'gdp.csv' -g 'per-year.csv'
    output
    gdp.csv
  7. deft sheet group --help
    output
    deft sheet group - Group and total: --columns city --values sales --agg sum
    
    Usage: deft sheet group <sheet>... [-o <sheet|dir>] [options]
    In: sheet (each handled separately)   Out: sheet (default <name>.grouped.<ext>)
    Without --values, counts the rows of each group.
    
    Options:
      --columns <text>             Columns to group by (required)
      --values <text>              Columns to aggregate
      --agg <sum|mean|count|min|max>
          How to combine values (default sum)
      --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 group sales.csv --columns city --values amount --agg mean -o totals.csv
      deft sheet group sales.csv --columns city,year -o counts.csv
    
    Result fields: rows, columns
  8. deft sheet group gdp.csv --columns Year --values Value --agg sum -o per-year.csv
    output
    ok sheet.group gdp.csv -> per-year.csv  64 rows x 2 columns  0.02s
  9. Created [per-year.csv](per-year.csv) with the sum of `Value` for each `Year` (64 years).

Output

YearValue_sum
2000248410805726630.47
2001247580096430191.34
2002257377252033461.8
2003290307395862932.75
2004329624586123499.4
2005360547919545506.8
2006395423460251844.8
2007452558909234250.9
2008504827157828119
2009479835946119308.5
2010532356740877791.56
2011597862594560925.5
2012613339581738808.1
2013635449664774803.5
2014654673772501479.9
2015615964124156973
2016624446095851665.4
2017668487989564750.1
2018711534474317183.9
2019722421672807313.5
2020701682453087538.1
2021804682961797170.3
2022836222292702314.5

Showing 24 of 65 rows.

Claude Opus 5.5Without deftPassed2026-11-07

Time
16s
New tokens
10.3k
Total input
57.4k
Output tokens
1.1k
Commands
0
Failed
0

Trace

    Output

    YearValue
    19609940146901453.496
    196110431373800760.14
    196211107920701138.814
    196312024266177274.145
    196413270687512845.441
    196514556657260112.648
    196615645181746578.889
    196716580380159389.299
    196817839694577457.918
    196919728317147811.996
    197021715158708428.97
    197123903916492376.26
    197227600409301028.36
    197333850699517320.938
    197439371484221204.89
    197544176959007771.43
    197647749276390027.38
    197753958696974536.76
    197863061369954035.336
    197973955359933978.89
    198084377400197205.53
    198187317977608829.88
    198285943726521367.94

    Showing 24 of 65 rows.

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

    Time
    16s
    New tokens
    12.2k
    Total input
    94.4k
    Output tokens
    1.1k
    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
      
      YearValue
      19609940146901453.5
      196110431373800760.1
      196211107920701138.8
      196312024266177274.1
      196413270687512845.4
      196514556657260112.7
      196615645181746578.9
      196716580380159389.3
      196817839694577457.9
      196919728317147812
      197021715158708429
      197123903916492376.3
      197227600409301028.3
      197333850699517320.9
      197439371484221204.9
      197544176959007771.4
      197647749276390027.4
      197753958696974536.7
      197863061369954035.3
      197973955359933978.9
      198084377400197205.5
      198187317977608829.9
      198285943726521367.9

      Showing 24 of 65 rows.

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