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  <title>PENERAPAN METODE EXPLORATORY DATA ANALISIS DALAM PRE PROCESSING DATA UNTUK VISUALISASI DATA PENJUALAN</title>
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  <namePart>ABDILAH ALKAUTSAR AUDI</namePart>
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  <publisher>Universitas Satya Negara Indonesia</publisher>
  <dateIssued>2025</dateIssued>
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  <languageTerm type="text">Indonesia</languageTerm>
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 <note>The problem addressed in this study arises from the need of PT Avi Medikal&#13;
Indonesia to better understand sales patterns in order to formulate more accurate&#13;
business strategies. The purpose of this research is to analyze and visualize sales&#13;
data using the Exploratory Data Analysis (EDA) approach to support faster, datadriven&#13;
decision-making. The proposed solution involves applying EDA methods&#13;
through the Python programming language and presenting the analysis results&#13;
using Looker Studio. The research process includes data cleaning (removing&#13;
duplicates, handling missing values and outliers), data type conversion, descriptive&#13;
statistical analysis, outlier detection, and the calculation of the Average Inter&#13;
Purchase Time (AIT) for each customer. The final output is presented in the form&#13;
of an interactive dashboard that displays sales trends, regional distribution, and&#13;
customer purchasing behavior, which has proven effective in helping management&#13;
to better understand business conditions and make more targeted decisions.</note>
 <note type="statement of responsibility">ABDILAH ALKAUTSAR AUDI</note>
 <subject authority="">
  <topic>Sistem Informasi</topic>
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 <subject authority="">
  <topic>Exploratory Data Analysis</topic>
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 <subject authority="">
  <topic>Data Visualization</topic>
 </subject>
 <subject authority="">
  <topic>Sales</topic>
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 <subject authority="">
  <topic>Python</topic>
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  <topic>Looker Studio</topic>
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 <classification>SI 2025</classification>
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