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"Visualisation and analytics tools apa yang ada kat market sekarang?"
First, tengok focus ke arah mana, either analytics or visualization. Second, tengok specialisation tu ke arah data type or a particular domain.
Thread of 15 visualisation and analytics tools.
First, tengok focus ke arah mana, either analytics or visualization. Second, tengok specialisation tu ke arah data type or a particular domain.
Thread of 15 visualisation and analytics tools.
Open Source Visualization Frameworks and Libraries
1. Plotting in R: ggplot2
Link: http://ggplot2.org
Kegunaan: Sesuai untuk draw static plot and graph. Apa itu static plot and graph? Kita bincang kat thread lain.
Documentation lanjut boleh refer: http://docs.ggplot2.org/
1. Plotting in R: ggplot2
Link: http://ggplot2.org
Kegunaan: Sesuai untuk draw static plot and graph. Apa itu static plot and graph? Kita bincang kat thread lain.
Documentation lanjut boleh refer: http://docs.ggplot2.org/
2. Interactive web applications for R: R Shiny
Link: http://shiny.rstudio.com
Kegunaan: Sesuai untuk plot interactive plot dan untuk lagi advanced boleh buat full functioning dashboard.
Boleh refer tutorial di sini: https://shiny.rstudio.com/tutorial/
Link: http://shiny.rstudio.com
Kegunaan: Sesuai untuk plot interactive plot dan untuk lagi advanced boleh buat full functioning dashboard.
Boleh refer tutorial di sini: https://shiny.rstudio.com/tutorial/
3. Static Python plotting library: Matplotlib
Link: http://matplotlib.org
Kegunaan: Sesuai untuk draw static plots and graphs. Yang bestnya boleh combine with interactive HTML widgets. Refer: https://github.com/ipython/ipywidgets
Also Seaborn extension. http://seaborn.pydata.org/
Link: http://matplotlib.org
Kegunaan: Sesuai untuk draw static plots and graphs. Yang bestnya boleh combine with interactive HTML widgets. Refer: https://github.com/ipython/ipywidgets
Also Seaborn extension. http://seaborn.pydata.org/
4. Another programming language and IDE: Processing
Link: http://processing.org
Kegunaan: Instant visual feedback and cross-platform. Best sebab boleh guna HTML5 Canvas and WebGL for rendering.
Tutorial boleh refer: https://processing.org/tutorials/
Link: http://processing.org
Kegunaan: Instant visual feedback and cross-platform. Best sebab boleh guna HTML5 Canvas and WebGL for rendering.
Tutorial boleh refer: https://processing.org/tutorials/
5. Data-driven document: d3js
Link: http://d3js.org
Kegunaan: Free Java Script library and very popular.
Boleh tengok example best di: https://beta.observablehq.com/@mbostock/d3-bar-chart
Link: http://d3js.org
Kegunaan: Free Java Script library and very popular.
Boleh tengok example best di: https://beta.observablehq.com/@mbostock/d3-bar-chart
6. A Visualization Grammar: VEGA
Link: http://vega.github.io/vega/
Kegunaan: Declarative language for creating, saving, and sharing interactive visualization designs.
Boleh refer contoh bar chart disini: https://vega.github.io/editor/#/examples/vega/bar-chart
Link: http://vega.github.io/vega/
Kegunaan: Declarative language for creating, saving, and sharing interactive visualization designs.
Boleh refer contoh bar chart disini: https://vega.github.io/editor/#/examples/vega/bar-chart
7. Something similar to jupyter notebook: Observable
Link: https://beta.observablehq.com/
Kegunaan: Full D3.js & VEGA integration. True interaction (not just with predefined Python widgets).
Boleh explore samples di: https://observablehq.com/explore
Link: https://beta.observablehq.com/
Kegunaan: Full D3.js & VEGA integration. True interaction (not just with predefined Python widgets).
Boleh explore samples di: https://observablehq.com/explore
8. Declarative statistical visualization library for Python: Altair
Link: http://altair-viz.github.io/
Kegunaan: Declarative statistical visualization library for Python and based on Vega and Vega-Lite. User selections can be fed back into notebook.
Link: http://altair-viz.github.io/
Kegunaan: Declarative statistical visualization library for Python and based on Vega and Vega-Lite. User selections can be fed back into notebook.
9. Declarative charting library: Plotly
Link: http://plot.ly
Kegunaan: Semua jenis charts ada. Ada juga plotly.js: Built on top of d3.js. Also available for Python, R, Matlab
Link: http://plot.ly
Kegunaan: Semua jenis charts ada. Ada juga plotly.js: Built on top of d3.js. Also available for Python, R, Matlab
Yang berbayar
10. Business Analytics Software: Tableau
Link: http://tableau.com
Founded in 2003, ~3500 employees. Co-Founder: Pat Hanrahan from Stanford. Recently introduced Tableau Prep
10. Business Analytics Software: Tableau
Link: http://tableau.com
Founded in 2003, ~3500 employees. Co-Founder: Pat Hanrahan from Stanford. Recently introduced Tableau Prep
11. Data visualization & analytics software: Spotfire
Link: http://spotfire.tibco.com
Emerged from research software @ Univ. of Maryland. Acquired by TIBCO in 2007.
Link: http://spotfire.tibco.com
Emerged from research software @ Univ. of Maryland. Acquired by TIBCO in 2007.
12. Business analytics software: Power BI
Link: http://powerbi.microsoft.com
Ini paling aku banyak guna sekarang and ok untuk fulfill kehendak industry. Banyak thread aku akan focus on Power BI lepas ni ok?
Link: http://powerbi.microsoft.com
Ini paling aku banyak guna sekarang and ok untuk fulfill kehendak industry. Banyak thread aku akan focus on Power BI lepas ni ok?
13. Another business analytics software: IBM Watson Analytics
Link: http://www.ibm.com/analytics/watson-analytics
Recently replaced by IBM Cognos Analytics. Boleh tengok promotional videos dia di sini: https://www.youtube.com/user/watsonanalytics
Link: http://www.ibm.com/analytics/watson-analytics
Recently replaced by IBM Cognos Analytics. Boleh tengok promotional videos dia di sini: https://www.youtube.com/user/watsonanalytics
14. Data wrangling tool: Trifacta
Link: http://trifacta.com
Kegunaan: Best sebab dia boleh presents automated visual representations of data based upon its content. Also Perform data transformations.
Short promotional video: https://www.trifacta.com/resource/trifacta-wrangler-demo/
Link: http://trifacta.com
Kegunaan: Best sebab dia boleh presents automated visual representations of data based upon its content. Also Perform data transformations.
Short promotional video: https://www.trifacta.com/resource/trifacta-wrangler-demo/
15. Open Source Java-based graph vis and analysis tool: Cytospace.
Link: http://cytoscape.org
Ini kepada siapa yang familiar with Java. Web-version: cytoscape.js
Link: http://cytoscape.org
Ini kepada siapa yang familiar with Java. Web-version: cytoscape.js
Aku terus tunjuk tools sebab boleh juga nak belajar asas visualisation and analytics terus dengan pakai tools.
Aku nak specifically tag @wolfipali, @arif_jamaludin_, @amirulhakiim_ , @nfzaali and @imranhakmm, sebab ada tunjuk interest ini analytics area.
Sebarkan.
Aku nak specifically tag @wolfipali, @arif_jamaludin_, @amirulhakiim_ , @nfzaali and @imranhakmm, sebab ada tunjuk interest ini analytics area.
Sebarkan.
