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 651
- Win 348
- Mac 220
- Linux 83
Apr 25 | Apr 24 | Apr 23 | Apr 22 | Apr 21 | Apr 20 | Apr 19 | Apr 18 | Apr 17 | Apr 16 | Apr 15 | Apr 14 | Apr 13 | Apr 12 | Apr 11 | Apr 10 | Apr 9 | Apr 8 | Apr 7 | Apr 6 | Apr 5 | Apr 4 | Apr 3 | Apr 2 | Apr 1 | Mar 31 | Mar 30 | Mar 29 | Mar 28 | Mar 27 | Mar 26 | Mar 25 | Mar 24 | Mar 23 | Mar 22 | Mar 21 | Mar 20 | Mar 19 | Mar 18 | Mar 17 | Mar 16 | Mar 15 | Mar 14 | Mar 13 | Mar 12 | |
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Windows | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
Mac | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Linux | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 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