Data Wizard
ST3/ST4 package for advanced data manipulation in delimited flat files (.csv, .psv, .tsv, .txt, .dat .etc). Supports auto detection of delimiters, Justification of delimited file, collapsing delimited files, pivoting delimited files, pop columns to end (cycling first column to end in pivoted data sets, see example), data masking(shuffle list, shuffle characters), data sampling, and converting datagrid to sql insert statements. This Package is especially helpful for ETL or any task that interfaces with delimited flat files in which you are constantly opening files and inspecting them. Allows for instant human readability and analysis.
Details
Installs
- Total 718
- Win 389
- Mac 239
- Linux 90
| Jan 7 | Jan 6 | Jan 5 | Jan 4 | Jan 3 | Jan 2 | Jan 1 | Dec 31 | Dec 30 | Dec 29 | Dec 28 | Dec 27 | Dec 26 | Dec 25 | Dec 24 | Dec 23 | Dec 22 | Dec 21 | Dec 20 | Dec 19 | Dec 18 | Dec 17 | Dec 16 | Dec 15 | Dec 14 | Dec 13 | Dec 12 | Dec 11 | Dec 10 | Dec 9 | Dec 8 | Dec 7 | Dec 6 | Dec 5 | Dec 4 | Dec 3 | Dec 2 | Dec 1 | Nov 30 | Nov 29 | Nov 28 | Nov 27 | Nov 26 | Nov 25 | Nov 24 | |
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| Windows | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| Mac | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Linux | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
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DataWizard
ST3/ST4 package for advanced data manipulation in delimited flat files (.csv, .psv, .tsv, .txt, .dat .etc). Supports auto detection of delimiters, Justification of delimited file, collapsing delimited files, pivoting delimited files, pop columns to end (cycling first column to end in pivoted data sets, see example), data masking(shuffle list, shuffle characters), data sampling, and converting datagrid to sql insert statements. This Package is especially helpful for ETL or any task that interfaces with delimited flat files in which you are constantly opening files and inspecting them. Allows for instant human readability and analysis. Notes: it's strongly recommended to key bind the justify, collapse, pivot, and pop commands. Recommended Key Bindings
//recommended bindings
// { "keys": ["alt+\\"], "command": "datawizardjustifycolumns"},
// { "keys": ["alt+shift+\\"], "command": "datawizardcollapsecolumns"},
// { "keys": ["alt+p"], "command": "datawizardpivot"},
// { "keys": ["alt+shift+p"], "command": "datawizardpivotjustify"},
// { "keys": ["alt+l"], "command": "datawizardpop"},
// { "keys": ["alt+s"], "command": "datawizarddistinctcolumns"},
// { "keys": ["alt+shift+s"], "command": "datawizarddistinctcolumnformats"},
// { "keys": ["alt+j"], "command": "datawizarddistinctcolumnstojson"},
// { "keys": ["alt+shift+j"], "command": "datawizarddistinctcolumnformatstojson"},
// { "keys": ["alt+i"], "command": "datawizardstatisticssampledelimiteddiffs"},
// { "keys": ["alt+q"], "command": "datawizardconverttosqlinsertpostgres"},
//not neccessary to map these but you can if wanted.
//sense these are less common i really just use the context menu for these actions by right clicking in the canvas
// {"keys":["alt+?"],"command":"datawizarddistinctchars"},
// {"keys":["alt+?"],"command":"datawizardkeepdelimiters"},
// {"keys":["alt+?"],"command":"datawizardleadingzerosadd"},
// {"keys":["alt+?"],"command":"datawizardleadingzerosremove"},
// {"keys":["alt+?"],"command":"datawizardsqltolowercaser"},
// {"keys":["alt+?"],"command":"datawizardpyvartotext"},
// {"keys":["alt+?"],"command":"datawizardrandomshufflecolumnvertically"},
// {"keys":["alt+?"],"command":"datawizardrandomshufflecharvertically"},
// {"keys":["alt+?"],"command":"datawizardconverttosqlinsert"},
// {"keys":["alt+?"],"command":"datawizardopenchrometab"},
// {"keys":["alt+?"],"command":"datawizardformatjson"},
Justify Collapse Columns (auto detects delimiters)

Pivot and Justify

Pop

Distinct Columns

Distinct Columns into Json

SQL Inserts(batched in groups of 1000) now supporting sql server and postgres syntax

LeadingZerosAddRemove

Shuffle Columns

Shuffle Characters vertically within equal length strings

Distinct Characters

Other misc function
Read Py Variables
