Differences

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--- datascience [2019/04/14 18:42] – [Data Science] Ganesh
+++ datascience [2020/03/11 19:47] (current) – external edit 127.0.0.1
@@ Line 15: / Line 15: @@
-Data Science is not just limited to scientific method of analyzing data, but spans a broad spectrum of following uses :
+Data Science is not just limited to scientific method of analyzing data, but spans a broad spectrum of following practices :
   - Data Expectation
@@ Line 26: / Line 26: @@
   - Data Collection
   - Data Analysis
-  - Statistical PRe, Post processing
+  - Statistical Pre/Post processing
   - Visualization
   - Systems Modeling
@@ Line 34: / Line 34: @@
   - Information & Knowledge formation
   - Research
+  - Democratization & Socialization of Data & Methods
+Many of the above process does not require coding. Even if coding is present while using software tools, they come process of better tool & platform making. Which we accept as fundamental collaborative peer production process resulting in a high quality and useful tool set that compliments the skill. Thus Data tools becomes a vital and central point for enabling participation with little learning curve while being transparent allows the new comers to select the learning curve travel based upon the time they have presents.
+==== Tools ====
+At every turn of history of science & technology, skills, tools, labour decided further course. Evolution of used tools, and skills are itself again products of historical labour. Thus in contemporary usage of tools to practice data science dictates how and what kind of science one is going to practice. A tool that is developed collaboratively by fellow hackers, developers, researchers, statisticians, mathematicians, etc... and also distributed democratically ensures the transparency thereby forming a more available, accessible, affordable ecosystem that reduces the pain in learning and unlearning new set of tools and skills, resulting a course towards progression.
+In that sense, there are a number of free software, open data supporting tools as listed below:
+==== Data Collection, Survey Tools ====
+^ No. ^ Name ^ Type ^ Link ^ License |
+^ 1. | Open Data Kit | Data Collection Suite | [[https://opendatakit.org/|ODK]] | Apache 2.0 |
+^ 2. | Open Rosa | Data Collection | [[https://enketo.org/openrosa/#target|Open Rosa ODK]] | NA |
+^ 3. | GeoODK | Data Collection | [[http://geoodk.com/|Geo ODK]] | NA |
+^ 4. | Kobo Tool Box | Data Collection/Survey | [[https://github.com/kobotoolbox|Kobo Tool Box]] | Apache 2.0 |
+^ 5. | Enketo | Data Collection | [[https://github.com/enketo|Enketo]] | Apache2.0 |
+==== Statistical Analysis, Data Science Tools ====
+^ No. ^ Name ^ Type ^ Link ^ License |
+^ 1. | GNU Scientific Library | Library | [[https://www.gnu.org/software/gsl/|GSL]] | GPL |
+^ 2. | GNU PSPP | Application | [[https://www.gnu.org/software/pspp/|PSPP]] | GPLv3 |
+^ 3. | Gretl | Application, Econometrics | [[http://git.code.sf.net/p/gretl/git|gretl]] | GPLv3 |
+^ 4. | SciKitLearn | Library | [[https://scikit-learn.org/|scikit-learn]] | New BSD |
+^ 5. | Orange | Application, DM & ML | [[https://orange.biolab.si/|Orange]] | GPLv3 |
+^ 6. | R | Application, Library | [[https://www.r-project.org/|R]] | GPLv2 |
+^ 7. | Jamovi | Applicaiton, Library | [[https://github.com/jamovi|Jamovi]] | AGPLv3, GPL2+ |
+^ 8. | Shogun | Application, Library | [[http://www.shogun-toolbox.org/|ShogunToolbox]] | BSD 3 Clause |
+^ 9. | Stan | Library, Modeling | [[https://mc-stan.org/|Stan]] | New BSD, GPLv3 |
+^ 10. | Pandas | Library | [[https://pandas.pydata.org/|Pandas]] | BSD |
+^ 11. | Xarray | Library | [[http://xarray.pydata.org/en/stable/|xarray]] | Apache |
+^ 12. | SOFA | Application | [[http://www.sofastatistics.com/home.php|SOFA]] | AGPLv3 |
+^ 13. | GNU Data Language | Application, Library | [[https://github.com/gnudatalanguage|GDL]] | GPLv2 |
+^ 14. | SciPy | Library | [[https://www.scipy.org/scipylib/index.html|SciPy]] | [[https://www.scipy.org/scipylib/license.html|License]] |
+^ 15. | Numpy | Library | [[http://www.numpy.org/|NumPy]] | BSD |
+**To Learn DataScience** : https://datalab.cc/
+==== Data Visualization ====
+^ No. ^ Name ^ Type ^ Link ^ License |
+^ 1. | Rawgraphs | Vector Data Visualization based on D3 | [[https://github.com/densitydesign/raw/|Rawgraphs]] | Apache 2.0 |