100% satisfaction guarantee Immediately available after payment Both online and in PDF No strings attached
logo-home
Previously searched by you
Previously searched by you
logo
Summary Data Visualization and Basics of Statistics and Importance of Terminologies $8.89
Add to cart
Quickly navigate to
Preview
  2.  
  3. Anna University
  4.  
  5. Ds1301

Summary

Summary Data Visualization and Basics of Statistics and Importance of Terminologies
 0 purchase
  • Course
  • Ds1301
  • Institution
  • Anna University

provides a student level best understanding summary notes on the topics Data Visualization and Basics of Statistics and Importance of Terminologies in Data science

Preview 3 out of 30  pages

Document information

  • July 2, 2024
  • 30
  • 2023/2024
  • Summary

Subjects

  • data science
  • data science notes
  • data science summary
  • ds

Written for

  • Anna University
  • Ds1301
All documents for this subject (3)

Seller

avatar-seller
harshi2

Content preview

Data Science : A brief Explanation (PART 2)
Do get the following parts from my page for complete notes!!


Data Visualization and Basics of Statistics and Importance of
Terminologies


Visual Representation
Data visualization relies on various graphical elements to represent complex
information in a visually comprehensible manner. Charts such as bar charts, line
charts, pie charts, and area charts are fundamental in illustrating numerical data
and relationships between variables. These charts are effective for comparing
data points or showing trends over time. Graphs like scatter plots, network
graphs, and tree diagrams are used to visualize connections and relationships
between data points, aiding in identifying clusters or patterns within data. Maps
are crucial for geographic data, displaying spatial distributions and patterns
across regions or locations. Dashboards integrate multiple visualizations into a
single interface, providing a comprehensive overview of key metrics and
performance indicators (KPIs) in real-time.



Data Exploration
Visualizations serve as powerful tools for exploring large datasets quickly and
efficiently. By visually representing data, analysts can easily identify trends,
outliers, and patterns that might not be evident from raw data alone. This
capability allows for deeper insights and hypothesis generation, enabling
data-driven decision-making. Exploratory data visualizations are particularly
useful in uncovering hidden relationships or anomalies within data sets,
facilitating further investigation and analysis.



Pattern Recognition

,Human cognition is adept at recognizing visual patterns, making data
visualization a potent tool for pattern recognition in data analysis. Visual
representations help analysts detect trends, correlations, and irregularities that
might be obscured in tabular or textual formats. By presenting data visually,
patterns can be identified more intuitively, enabling stakeholders to make
informed decisions based on clear insights derived from the visualized data.



Communication
One of the primary functions of data visualization is to simplify the
communication of complex data insights to diverse audiences. Visualizations
provide a clear narrative, making it easier for stakeholders and decision-makers
to grasp key findings and implications from data analysis. By translating data into
intuitive graphical representations, visualizations facilitate effective
communication of insights, enabling stakeholders to align on strategies and
actions based on a shared understanding of the data.



Interactivity
Modern data visualization tools offer interactive features that enhance user
engagement and exploration of data. These features include zooming, filtering,
and drill-down capabilities, allowing users to interact with visualizations
dynamically. Interactivity enables stakeholders to explore specific data points,
adjust parameters, and gain deeper insights into the underlying data. This
capability not only enhances user experience but also supports iterative analysis
and decision-making by enabling real-time exploration and manipulation of
visualized data.



Tools and Techniques
A variety of software tools and programming libraries are used to create effective
data visualizations. Commercial Tools such as Tableau, Power BI, QlikView,
and Looker are popular for their user-friendly interfaces and robust visualization

, capabilities, catering to different business needs and requirements.
Programming Libraries like matplotlib, seaborn, Plotly, and D3.js offer flexibility
for creating custom visualizations and integrating them into data science
workflows. Web-based Tools such as Google Data Studio and Chart.js enable
the creation of interactive and dynamic visualizations for web applications,
supporting online data sharing and collaboration.



Applications
Data visualization finds diverse applications across industries and domains,
enhancing decision-making and insights generation. In Business and Finance,
visualizations are used to analyze sales trends, market dynamics, and financial
performance metrics. In Healthcare, visualizing patient data and clinical
outcomes aids in medical research and treatment planning. Science and
Research benefit from visualizing experimental results, environmental data, and
complex scientific concepts. Government and Public Policy rely on
visualizations to communicate statistical insights, demographic trends, and policy
impacts effectively. Education leverages visualizations to enhance learning
through interactive displays of historical events, scientific principles, and
educational data.



Benefits of Data Visualization
Data visualization offers several key benefits:

● Enhanced Understanding: Visual representations simplify complex data,
making it accessible and understandable to a broader audience.
● Improved Decision-Making: Clear insights derived from visualizations
support informed decision-making processes across various sectors.
● Efficient Communication: Visualizations convey information succinctly
and persuasively, facilitating effective communication among stakeholders.
● Exploratory Analysis: Interactive visualizations enable users to explore
data dynamically, uncovering hidden insights and relationships.

The benefits of buying summaries with Stuvia:

Guaranteed quality through customer reviews

Guaranteed quality through customer reviews

Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.

Quick and easy check-out

Quick and easy check-out

You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.

Focus on what matters

Focus on what matters

Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!

Frequently asked questions

What do I get when I buy this document?

You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.

Satisfaction guarantee: how does it work?

Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.

Who am I buying these notes from?

Stuvia is a marketplace, so you are not buying this document from us, but from seller harshi2. Stuvia facilitates payment to the seller.

Will I be stuck with a subscription?

No, you only buy these notes for $8.89. You're not tied to anything after your purchase.

Can Stuvia be trusted?

4.6 stars on Google & Trustpilot (+1000 reviews)

69411 documents were sold in the last 30 days

Founded in 2010, the go-to place to buy study notes for 15 years now

Start selling
$8.89
  • (0)
Add to cart
Added