Volume 03 Issue 11-2023
168
International Journal of Advance Scientific Research
(ISSN
–
2750-1396)
VOLUME
03
ISSUE
11
Pages:
168-173
SJIF
I
MPACT
FACTOR
(2021:
5.478
)
(2022:
5.636
)
(2023:
6.741
)
OCLC
–
1368736135
A
BSTRACT
Data analysis in doing programming of languages main from the roles one information manipulation is to
do Like Python, R and SQL programming languages different from sources information separate take, clean
and change enable giver wide extensive libraries and functions offer is enough These languages
information filtering, generalization and combine for installed functions provides this while to analysts
next analysis for information preparation enable gives From this except, programming languages
information analysis to do for statistics and analytical opportunities present is enough.
K
EYWORDS
Programming, data analysis, Python, C++, high level programming language Information analysis to do to
businesses their own complete potential come true release for better decisions acceptance to do help gives
Data analysis to do for the best programming languages this in the field to you help gives.
I
NTRODUCTION
Journal
Website:
http://sciencebring.co
m/index.php/ijasr
Copyright:
Original
content from this work
may be used under the
terms of the creative
commons
attributes
4.0 licence.
Research Article
SUBSTITUTE PROGRAMMING LANGUAGES IN DATA
ANALYSIS
Submission Date:
November 08, 2023,
Accepted Date:
November 13, 2023,
Published Date:
November 18, 2023
Crossref doi:
https://doi.org/10.37547/ijasr-03-11-28
S.Sh. Khusanova
Assistant, Tuit Fergana Branch, Department Of Telecommunications Engineering, Fergana, Uzbekistan
Azamjonova Zarina Khan
Assistant, Tuit Fergana Branch, Department Of Telecommunications Engineering, Fergana, Uzbekistan
Khalilova Umidakhon
Assistant, Tuit Fergana Branch, Department Of Telecommunications Engineering, Fergana, Uzbekistan
Volume 03 Issue 11-2023
169
International Journal of Advance Scientific Research
(ISSN
–
2750-1396)
VOLUME
03
ISSUE
11
Pages:
168-173
SJIF
I
MPACT
FACTOR
(2021:
5.478
)
(2022:
5.636
)
(2023:
6.741
)
OCLC
–
1368736135
Data analysis to do what Data analysis to do raw
information change, cleaning and again work
process own into takes Information analysts who
does of work one part from the data belongs to
information is to get it justified decisions
acceptance is to do They are to companies trends
according to right decision acceptance to do help
giving risk analysis present is enough Analysis as
a result valuable statistics and concepts are taken,
they usually tables, diagrams, graphs and in
pictures present will be done [1-7].
Programming languages what Programming
languages to computers instructions gives High
level programming language usually low level
programming to the language than user for more
convenient and it's winter and to write for it is
more convenient. High level of languages source
code reading easy has been from the syntax uses
later on this central processor low level that the
unit recognizes to the language is converted. High
level famous languages include C, C++, Java, and
JavaScript. Processors to the translator need low
level without noticing languages manages these
are computers directly who understands car
languages [8-19].
Most good information analysis to do
programming languages:
•
Python;
•
R;
•
SQL;
•
Java;
•
Scala.
Data analysis to do for the most good
programming language which one Data analysis
to do for the most good programming language
your sure to your needs depends However, the
data analysis to do for the most good the language
when you are looking for, one how many
languages separate stands Nevertheless, all the
most good information analysis to do of
languages strong and weak there are sides. Data
analysis of doing the most famous programming
languages and of them how use about below
knowing take [20-27]
1. Python. Python is the future for the most
famous programming from their languages is one
This many p targeted, to the object directed the
language reading easy and information analysis
to do for good works It is information get, encode
applications Create and websites Create for use
can [28-31].
from Python that's it on purpose use for from you
necessary coding the amount reduce for libraries
download be required to receive can
Programming
language
wide
scope
to
applications have and new starters for it is
convenient. However, him information analysis to
do for setup for time need to be can.
2. R. R is information analysis to do for used
language Learning easy was this language like
Python addition does not require libraries and in
your data trends and patterns to find enable gives
It is information for great visualization to do or
statistics models Create for use can [32-38].
Information analysts use R because it is
quantitative applications for statistics packages
Volume 03 Issue 11-2023
170
International Journal of Advance Scientific Research
(ISSN
–
2750-1396)
VOLUME
03
ISSUE
11
Pages:
168-173
SJIF
I
MPACT
FACTOR
(2021:
5.478
)
(2022:
5.636
)
(2023:
6.741
)
OCLC
–
1368736135
offer does To them neuron networks,
phylogenetics, advanced or drawings and linear
didn't happen regression enters R also changes
adaptation for intended open source is a language
3. SQL. SQL is it to users relational data bases with
communication do, they inside search and use for
information ball gown enable giver strong script
is a language This is the data sciences for famous
programming language and his intuitive syntax
study very easy because it is known one the goal
for created using SQL business information
analysis to do your learning can because it data
manipulation to do for effective This skill on
demand have that it was because of, him to teach
one series SQL bootcamps there is
4. Java. Java is one that runs on the Java Virtual
Machine (JVM). common purposeful language
This high efficient language analytical methods
and data science code to the base integration for
strong tools offer is enough Today's in the day
many modern systems on the Java server built
This famous language data applications for
important is a tool.
Java platforms between continuously portability
provides. This is for him the computer intensive
learning algorithms and special work release
codes to write opportunity gives This is special
statistics applications and special analyses ideal
for.
5. Scala. Scala is it functional and to the object
directed approaches have programming language
Many p paradigm language in the JVM works, so
for many data analysts, especially big voluminous
data collections with those who work from him to
use preferred they see
Scala is clustered count system with Apache
Spark good works This is big in volume data
collection with to work makes it easier. Scala is in
Java bytecode compilation it will be done with the
language Java to work possibility gives It is
information analysts and data scientists for very
many p features offer is enough
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