Event description:
Radovan Kavický will show us how to effectively combine the power of Python, R & Tableau and other Data Science tools and techniques to explore, clean and combine your data, create interactive visualizations and unlock insights so far hidden in your data.
About speaker:
Founder @ PyData Bratislava & President @ GapData Institute
- Economic consultant, financial analyst (professional background) and macroeconomist (education/academic background) with strong mathematical & analytical background able to deliver top-level research and analytical work.
LinkedIn profile: https://www.linkedin.com/in/radovankavicky/
GitHub profile: https://github.com/radovankavicky
Tableau profile: http://public.tableau.com/profile/radovan.kavicky#/
https://www.eventbrite.com/e/pydata-bratislava-meetup-1-power-of-python-r-tableau-in-data-science-tickets-31605383553#
https://www.meetup.com/PyData-Bratislava/events/237319355/
https://www.facebook.com/events/148499092321506/
Language of the event: Python, R & Slovak
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PyData Bratislava [Python Data Enthusiasts and Users, Data Scientists & Statisticians of all levels from Slovakia.]
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This meetup group is for Data Scientists, Statisticians, Economists and Data Enthusiasts using Python for data analysis and data visualization. The goals are to provide Python enthusiasts a place to share ideas and learn from each other about how best to apply the language and tools to ever-evolving challenges in the vast realm of data management, processing, analytics, and visualization.
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PyData is a group for users and developers of data analysis tools to share ideas and learn from each other. We gather to discuss how best to apply Python tools, as well as those using R and Julia, to meet the evolving challenges in data management, processing, analytics, and visualization. PyData groups, events, and conferences aim to provide a venue for users acrossall the various domains of data analysis to share their experiences and their techniques. PyData is organized by NumFOCUS.org, a 501(c)3 non-profit in the United States.
The PyData Code of Conduct governs this meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact the organizer or NumFOCUS Executive Director Leah Silen (+1512-222-5449; leah@numfocus.org).
Our PyData Bratislava (Facebook group) you can find here: https://www.facebook.com/groups/1813599648877946/
Our PyData Bratislava (Twitter account) here: https://twitter.com/PyDataBA
Our PyData Bratislava (LinkedIn group) here: https://www.linkedin.com/groups/13506080
Good Stuff Happens in 1:1 Meetings: Why you need them and how to do them well
[Power of Python, R & Tableau in Data Science] (Radovan Kavický @ PyData Bratislava Meetup #1)
1. Power of Python, R &
Tableau in Data Science
Radovan Kavicky, GapData Institute (GDI)13. 2. 2017
(PyData Bratislava Meetup #1, Nervosa; #PyDataBA)
2. GapData Institute (GDI)
Economic Research & Public Policy & Data
Science think-tank (data-tank)
Data. Think. Change.
GapData Institute (GDI) is a non-profit
nonpartisan research institution harnessing
power of data & wisdom of economics for public
good.
Transparent account (from day #1;
SK7383300000002200933920
https://www.fio.sk/ib2/transparent?a=2200933920)
Partnership (openness, transparency)
1/7 Power of Python, R & Tableau in Data Science
3. Python (best tools/Data Science)
2/7 Power of Python, R & Tableau in Data Science
pandas (data manipulation, analysis)
- pandas datareader (data import)
- pandas-ply (functional data
manipulation)
- datacleaner (automate clean your
data)
matplotlib (dataviz)
SciPy (scientific Python)
NumPy (numerical Python)
- Numba (app high-perf)
Bokeh (dataviz)
scikit-learn (ML)
4. R (best tools/Data Science)
3/7 Power of Python, R & Tableau in Data Science
R-Studio (IDE for R)
- Shiny (R apps/interactive tools)
ggplot2 (dataviz, plotting tool)
ggvis (dataviz, declarative describe)
dplyr (data manipulation, dataframe)
data.table (data aggregator,
join+modify)
knitr (report generation)
5. Tableau (best tools/Data Science)
4/7 Power of Python, R & Tableau in Data Science
Tableau Desktop (+Public Edition)
Tableau Server (Python +R models)
Power Tools for Tableau
- Power Tools for Tableau Desktop
- Power Tools for Tableau Server
- Power Tools for Tableau
Deployment
Workbook SDK for Tableau (soft
dev)
DataWrangler (wrangle data took)
Alteryx Visual Analytics Kit for
Tableau
6. Python, R & Tableau (how to connect them)
5/7 Power of Python, R & Tableau in Data Science
IPython/Project Jupyter (Julia,
Python + R)
- Jupyter notebook (.ipynb rendering
via web browser) +nbviewer
rpy2 (start R in Python)
TabPy (connect to Tableau Server
from Python) +dplython (dplyr @Py)
D3 (DataViz, JavaScript)
Tableau +R.Data (connect .Rproj
+.RData)
PythonInR (start Python in R)
Rserve (TCP/IP binary R server)
7. Data Science (other tools)
6/7 Power of Python, R & Tableau in Data Science
JupyterHub (Jupyter for teams)
Docker (virtualization, app deploy)
Kafka (distributed stream platform)
Hadoop (Apache +distributed data
storage +MapReduce, Java)
MongoDB (cross-platform
document-oriented database)
Apache Spark (cluster computing)
+many open-source tools
8. Other activities (GapData Institute)
PyData Bratislava, R <- Slovakia, skczTUG
Open Data (only the 1st necessary step)
Python, R, Tableau community activities
Economic Research (studies, papers, publications)
Quantitative & Qualitative Analyses (Data/center of it
all)
Data Visualization (Interactive DataViz Tools)
Public Policy (Public Budget, Public Finance)
Economic Reforms (any area)
PyCon SK 2017 (10th-12th of March 2017, FIIT UK)
7/7 Power of Python, R & Tableau in Data Science
9. Thank you for your attention
Contact:
Radovan Kavicky
radovan.kavicky@gapdata.org
+420 776 467 159 (CZ)
+421 949 716 214 (SK)
http://www.linkedin.com/in/radovankavicky
https://gapdata.slack.com/messages/py-data/
https://github.com/radovankavicky
https://github.com/GapData/PyDataBratislava
@radovankavicky, @PyDataBA, @GapDataInst
#PyDataBA In case you have any question, feel free to ask.