Publications by Art

Project Data Analyst for Finance

09.11.2022

Data used df_loan <- read.csv('https://storage.googleapis.com/dqlab-dataset/loan_disbursement.csv', stringsAsFactors = F) dplyr::glimpse(df_loan) ## Rows: 9,754 ## Columns: 5 ## $ loan_id <int> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17… ## $ tanggal_cair <chr> "2020-01-06", "2020-01-06", "2020-01-06", "2020-01-06", "…...

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Project 2 Data Analyst for Finance

10.11.2022

As a data analyst, you are asked to analyze the investment process of investors registered with DQLab Finance. In this task, you will analyze how the behavior is The steps to be taken are, Data exploration Data manipulation Analysis of the investment process Time analysis until the first investment Investment retention analysis Data Used df_e...

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Project Analysis of Loan Classification for The MSME Sector

19.11.2022

Introduction Alembert Company is a company engaged in business loan services for the MSME sector. Due to this pandemic, the company is trying to provide services in the form of loan waivers for customers which are referred to as follow-up recommendations. The provision of follow-up recommendations to customers is based on certain criteria, an...

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Project Retail Data Exploration using R

27.11.2022

Introduction DQ-pedia is one of the e-commerce companies in the DQ Universe. Currently, DQ-pedia is aggressively expanding partners in the form of small stalls in various remote areas to expand business reach. DQ-pedia will assist DQ-pedia partners through strategies to increase partner revenue and conduct analysis to ensure stock availabilit...

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Data Science in Retail: Market Basket Analysis

28.11.2022

Introduction Market Basket Analysis (MBA) is an analytical technique used by businesses in the retail field to find strong product associations, or in other words find product packages that can have a big impact on sales. The algorithm that can be used in R to perform this MBA is a priori of package arules. There are only two required data, n...

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Data Science in Marketing: Customer Segmentation

29.11.2022

Read the data pelanggan <- read.csv("https://storage.googleapis.com/dqlab-dataset/customer_segments.txt", sep="\t") pelanggan[c("Jenis.Kelamin","Umur", "Profesi", "Tipe.Residen")] ## Jenis.Kelamin Umur Profesi Tipe.Residen ## 1 Pria 58 Wiraswasta Sector ## 2 Wanita 14 Pelajar Cluster ...

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Data Analyst of Covid in Indonesia

24.12.2022

Mengakses API covid.go.id library(httr) ## Warning: package 'httr' was built under R version 4.2.2 set_config(config(ssl_verifypeer = 0L)) resp <- GET("https://storage.googleapis.com/dqlab-dataset/update.json") # Status Code status_code(resp) ## [1] 200 # Status Code - 2 identical(resp$status_code, status_code(resp)) ## [1] TRUE # Header API...

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