AngularJS Development Company Suggests Handy Data Analytics Tools

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Top Exploratory Handy Data Analysis Tools

• For People who dont code so well

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Brief on Data Analytics

• Data analytics (DA) is the process of examining
  data sets in order to draw conclusions about the
  information they contain, increasingly with the
  aid of specialized systems and software.
• Types of DA applications
• Exploratory data analysis (EDA)
• Confirmatory data analysis (CDA)
• Here developers at Angularjs development company
  in India presents some DA tools for people who
  dont like to code

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List of DA Tools

• Excel / Spreadsheet
• Trifacta
• Rapid Miner
• Rattle GUI
• Qlikview
• Weka
• KNIME

• Orange
• Tableau Public
• Data Wrapper
• Data Science Studio (DSS)
• OpenRefine
• Talend

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Excel / Spreadsheet

• If you are transitioning into data science or
  have already survived for years, you would know,
  even after countless years, excel remains an
  indispensable part of analytics industry.
• Even today, most of the problems faced in
  analytics projects are solved using this
  software.
• Learning this tool has become quite easier with
  larger than ever
• community support
• tutorials
• free resources

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Trifacta

• Trifactas Wrangler tool is challenging the
  traditional methods of data cleaning and
  manipulation.
• Since, excel possess limitations on data size,
  this tool has no such boundaries and you can
  securely work on big data sets.
• This tool has incredible features such as chart
  recommendations, inbuilt algorithms, analysis
  insights using which you can generate reports in
  no time.
• Availability of such open source tools make us
  feel more confident and supportive,

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Rapid Miner

• The enterprise-scale data science platform that
  unites data prep, machine learning, and
  predictive model deployment.
• Leader in 2016 Gartner Magic Quadrant for
  Advanced Analytics.
• Yes, its more than a data cleaning tool. It
  extends its expertise in building machine
  learning models.
• Yes, it comprises all the ML algorithms which we
  use frequently. Not just a GUI, it also extends
  support to people using Python R for model
  building.

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Rattle GUI

• If you tried using R, but couldnt get a knack of
  whats going in, Rattle should be your first
  choice.
• This GUI is built on R and gets launched by
  typing install.packages("rattle") followed by
  library(rattle) then rattle() in R. Therefore, to
  use rattle you must install R.
• Its also more than just data mining tool.
• Rattle supports various ML algorithms such as
  Tree, SVM, Boosting, Neural Net, Survival, Linear
  models etc.

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Qlikview

• QlikView is very different from traditional
  business intelligence software.
• Its simple and easy, and puts the business user
  in total control.
• With just a few clicks, QlikView lets you
  consolidate, search, visualize, and analyze all
  your data sources for unprecedented business
  insight.
• No waiting for outdated reports, no more
  guessing. Just fast answers to the most critical
  business questions

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Weka

• An advantage of using Weka is that it is easy to
  learn.
• Being a machine learning tool, its interface is
  intuitive enough for you to get the job done
  quickly.
• It provides options for
• data pre-processing
• classification
• regression
• clustering
• association rules
• visualization

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KNIME

• KNIME Analytics Platform is the leading open
  solution for
• data-driven innovation
• helping you discover the potential hidden in your
  data
• mine for fresh insights
• predict new futures
• This tool has abundance of features on data
  blending, visualization and advanced machine
  learning algorithms.

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Orange

• It is designed to produce interactive data
  visualizations and data mining tasks
• It has an extensive library of data mining tasks
  which includes all classification, regression,
  clustering methods.
• Along with, the versatile visualizations which
  get formed during data analysis allows us to
  understand the data more closely.

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Tableau Public

• Tableau is a data visualization software.
• Its intelligent algorithms figure out by self
  about the type of data, best method available
  etc.
• If you want to understand data in real time,
  tableau can get the job done.
• In a way, tableau imparts a colorful life to data
  and lets us share our work with others.

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Data Wrapper

• Its a lightning fast visualization software.
• Its visualization bucket comprises of
• line chart
• bar chart
• column chart
• pie chart
• stacked bar chart
• maps

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Data Science Studio (DSS)

• From Raw Data to Smart Applications. Quickly.
• It is a powerful tool designed to connect
  technology, business and data.
• It is available in two segments Coding
  Non-Coding
• DSS is also powerful enough to create smart data
  applications to solve real world problems

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OpenRefine

• OpenRefine (formerly Google Refine) is a powerful
  tool for working with messy data
• Cleaning it
• Transforming it from one format into another
• Extending it with web services and external data
• Please note that since October 2nd, 2012, Google
  is not actively supporting this project, which
  has now been rebranded to OpenRefine

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Talend

• Is Your Data Ready For What's Next?
• Gain the agility to embrace increasing data
  volumes, users, use cases, and the latest
  technology breakthrough. Its time to architect
  your data-driven future.
• They offer various commercial as well as free
  products.
• Some of free products are open studio for data
  integration, big data, data quality, ESB, MDM and
  data preparation free desktop, etc.

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This is it for now!!

• This presentation is made by AngularJS experts at
  eTatvaSoft. They refer topics on related sites
  and other references.
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• info_at_etatvasoft.com
• www.etatvasoft.com
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