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        "description": "# RootInteractive\n\nCode for interactive visualization of multidimensional data in ROOT or native Python formats (Panda, numpy)\nSupport for ROOT data structures:\n* THn   - for multi-dimensional histograms\n* TTree and TTreeFormula, Aliases .. \n* TFormula, resp. any static Root/AliRoot functions\n\n#### No python packages dependencies\n* ROOT\n* aliBuild, AliRoot\n  * only one library libSTAT needed  - to be written as standalone package ...\n\n\n\n## RootInteractive content:\n\n* **Visualization part wrappers**\n  * client/server application (Jupyter, Bokeh, bqplot (in future))\n  * client application - (Bokeh standalone)\n\n* **Machine learning part (plans)**\n  * We would like to provide set of wrappers which will simplify/and user analysis using tabular data (trees,csv, pandas ...)\nerror estimates, robust statistic, handling of extrapolation errors\nset of predefined (parametrizable layouts - e.g autonecoders).\nSimilar approach was choosen recently by GOOGLE (announcement -09.04.2019) and Microsoft (announcement 02.05.2019)\n* **Integration of the ML part with visualization tools**\n  * Similar approach as was chosen by Ilastic project\n\n\n### RootInteractive Information\n\n* RootInteractive github (source code)\n  * https://github.com/miranov25/RootInteractive\n  * JIRA: https://alice.its.cern.ch/jira/browse/PWGPP-485\n* RootIteractive tutorial github\n  * https://github.com/miranov25/RootInteractiveTest\n  * Mostly example Jupyter notebooks  using Alice data\n  * JIRA https://alice.its.cern.ch/jira/browse/PWGPP-532\n* Data server at CERN\n  * https://rootinteractive.web.cern.ch/RootInteractive/data/ \n  * data on eos: \n    * /eos/user/r/rootinteractive/www/testData/\n    * /eos/user/r/rootinteractive/www/data/\n* Documentation server at CERN\n  * https://rootinteractive.web.cern.ch/RootInteractive/html/ \n  * /eos/user/r/rootinteractive/www/html/\n\n\n### Detailed description for ALICE user in JIRA\nFor ALICE CERN see detailed description in issue tracker in JIRA:\n* Jupyter notebooks for interactive n-dimensional analysis. Ipywidgets + bokeh. RootInteractive\nhttps://alice.its.cern.ch/jira/browse/PWGPP-485\n* ROOT tabular metadata description\n* ....\n\n### Galery:\n\n* Unit test dashboards:\n  * source: \n    * dashboard: https://rootinteractive.web.cern.ch/RootInteractive/testData/JIRA/PWGPP-532/test_bokehDrawSAArray.html\n    * https://github.com/miranov25/RootInteractive/blob/master/RootInteractive/InteractiveDrawing/bokeh/test_bokehDrawSA.py\n  * source: https://github.com/miranov25/RootInteractive/blob/master/RootInteractive/InteractiveDrawing/bokeh/test_bokehDrawArray.py\n    *  dashborad:  https://rootinteractive.web.cern.ch/RootInteractive/testData/JIRA/PWGPP-532/test_BokehDrawArray_DraFromArray.html\n\n* Real use case - using C++ interface - multidimensional dEdx calibration - video example: \n  * video: https://drive.google.com/file/d/1Uo2IhIWo94egaKIBAdjqTRsoTyvjKdJv/view , https://drive.google.com/file/d/1HcZ9jFhaofdiAv62aTiHllhbGjdaCbD-/view \n  * source code:  https://github.com/miranov25/RootInteractiveTest/blob/master/JIRA/PWGPP-485/dEdxPerformance.C\n* dashboards created  by  ROOT maco (dEdxPerformance.C): \n  * https://rootinteractive.web.cern.ch/RootInteractive/testData/JIRA/PWGPP-538/alice/data/2015/LHC15o/pass1/40MeV_width/dedxPtElPi_0.html\n  * https://rootinteractive.web.cern.ch/RootInteractive/testData/JIRA/PWGPP-538/alice/data/2018/LHC18q/pass1/40MeV_width/dedxPtElPi_0.html\n  * https://rootinteractive.web.cern.ch/RootInteractive/testData/JIRA/PWGPP-538/alice/data/2018/LHC18q/pass1/40MeV_width/dedxPtElPi_0.html\n\n\n\n",
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