Best Data Visualization Services | Data Visualization Expert

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Welcome To Loginworks Softwares
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Analysing Data Visualization (DV) and DV Tool vs
Spreadsheet
Data visualization is the visual representation
of data in the different format like pictorial or
graphical format. It actually abstracts a large
amount of data to help people easily understand
and make a decision on the data. It drills down
insight the data and pulls out the meaningful
data. It is basically used in the data analysis
arena.It is an art of representing the data in
such way that even a non-analyst can understand
it very easily. It includes the use of elements
like colors, dimensions, labels that can create
visual masterpieces.
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Why is data visualization important?

• Data visualization is a very important factor for
  an industry because a human can easily understand
  a large amount of complex data using charts,
  graphs over spreadsheets. You can do the
  experiment with data to explore the new scenarios
  by making the adjustment. It also helps the
  industry in many ways
• It easily captures the areas in which data that
  needs to be improved.
• We can easily understand the customer behavior in
  particular areas through data.
• It helps you understand which areas need more
  attention through data.
• It easily forecasts the total sales.
• We can easily take a decision on a large number
  of data regarding prices, updation.

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Data visualization tool Today the data visualizat
ion tools are far better than the spreadsheets in
the infographic, geographic maps, bars, charts
etc. These things enable the user to manipulate
or explore the data for analysis in a better way.
There are many tools for data visualization but
one of the best is Tableau. Data Visualization to
ols and spreadsheet There are many tools for data
visualization in the market that helps you to
create interactive dashboards. Each one of tools
has its pros and cons, so when you explore some
of them to see what works best for you. My
personal preference is Tableau.
What is the reason that someone wants to invest
in a tool like a Tableau? I mean you can use
Excel to accomplish the same thing instead? From
my point of view, Data visualization tools
provide more benefits. The capacity of most data
visualization tools far exceeds than Excel, which
has 1,048,576 rows by 16,384 columns. But some
data visualization tools can have the data as you
have the memory to support.
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Data visualization tools also provide us endless
and instant flexibility. It is in-memory analytic
tools. It means that they load the data into your
computers memory and it will allow you to slice,
dice and analyze data in real time. It also needs
to be a read-only, which means that it doesnt
destroy your actual data. That would be better
you know it encourages to experiment because of
you no need to worry about destroying your data.
Data visualization tools also provide more data
connectivity opportunities than Excel does. A few
applications can interface locally to an
information source, which can either be CSV/Excel
sends out, or guide associations with MySql,
Google Analytic and so on as it additionally
encourages scalability. You can easily hit a
refresh button and the data is up to date by
using a form of reference links instead of
imports. It means that once you have built your
report, you will never have to create it again.
Data visualization tools also help you to bring
together your data from different channels so you
can get a complete picture. It is the key
because, in order to drive results in the digital
space, you can no longer look at practices in
silos. The same goes for your data. It means you
cant really create a strategy in the digital
space without combining your channels into one
place.
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Core Difference between Data visualization tools
and Spreadsheet tools

• ( 1.) Exploring Data
• Organizations remain competitive within their
  markets with the help of Finding key insights in
  data. Spreadsheet tools and data visualization
  tools differ greatly when we talk about the
  ability to explore data and finding insights.
• You must already have an idea of where the data
  needs to lead you to find critical insights When
  working with Spreadsheet tools. Because excel
  saves data in a tabular format, it means you have
  to do the mapping to get your answer, building
  formulas and visualizations, and analyzing the
  information. That is the reason that the process
  of drilling down into data to be less flexible,
  and it makes it harder to explore information on
  a granular level.
• On the other hand, data visualization tools allow
  you to freely explore data without knowing the
  answer you want ahead of time. You are able to
  spot correlations and trends with drill-down and
  data blending features built in, and then dig
  down to understand what caused them to happen,
  rather than the other way around.

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( 2.) Automation Functionality For up-to-date dat
a to make critical decisions many organization
depend on this. Spreadsheet tools and data
visualization tools can work with static and live
data from multiple sources. A spreadsheet tool
includes physically programming forms or making
macros that consequently update the worksheets
information when you open the document.
An easy macro can be created with Excels Power
Pivot and macro recorder tools. When we are
creating advanced macros or manipulating existing
ones requires Visual Basic Application knowledge.
By the way, creating macros can be
time-consuming, but reduces the time it takes to
complete repetitive tasks in the long run.
When we talk about data visualization tools it
is simpler with creating processes and
calculations. We can type the formula once and
then stored as a field and it can be applied to
all rows referencing that source When we are
creating calculations in a tabular format. By
this process, we can make easier to create and
apply recurring processes. Data visualization
tools also provide users to create custom
formulas.
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( 3.) Visualizations We first manipulate the data
on the cell level, then manually create
visualizations like graphs, charts etc in Excel.
To simplify visualization creation first we need
to deep understanding of how features of excel
work. Data visualization tools visualize data fro
m the start and it allows you to see the
consequence right away. Data visualization tools
can differentiate correlations using color, size,
labels and shapes and give you context as you
drill down and explore on a granular level.
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Summary You can say data visualization is an art.
Data visualization tools are very important for
any organization because by this we can take very
easy and quick decision on a large amount of data
on the basis of graph or pictorial
representation. Data visualization tools are very
easy that even a non-technical person can
understand them easily.
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