Implementasi konsep statistika menggunakan R, meliputi simulasi Teorema Limit Pusat (Central Limit Theorem), ketakbiasan penduga parameter, serta pembentukan selang kepercayaan. Simulasi dilakukan pada beberapa distribusi seperti geometrik, eksponensial, seragam, dan normal untuk melihat perilaku distribusi rataan sampel, ragam sampel, serta ketepatan interval kepercayaan terhadap parameter populasi. Analisis disajikan melalui perhitungan numerik dan visualisasi histogram maupun grafik interval kepercayaan.

성남시 시각화 대회 인터렉티브 지도 html입니다.

Por Jaime Castillo Garibay

Alejandra Scarpetta

Interpretaciónes

This report presents a full exploratory and inferential analysis of 135 CRM deal records from Dochase ADX for the 2025 financial year. Using R (Quarto) with integrated Python analytics via reticulate, the study applies five core analytical techniques: Exploratory Data Analysis (EDA), Data Visualisation, Hypothesis Testing (ANOVA and Kruskal-Wallis), Correlation Analysis, and Linear Regression. The objective is to identify the key drivers of deal value within the sales pipeline and translate statistical findings into actionable commercial insights. The analysis reveals that deal value is highly skewed, significantly varies across pipeline stages, and is primarily driven by stage progression rather than time in pipeline. The findings support a stage-based sales management framework, including prioritisation of mid-pipeline deals, improved CRM monitoring, and stage-linked performance tracking to enhance revenue predictability. This work demonstrates applied business analytics combining statistical inference, predictive modelling, and executive-level interpretation for data-driven decision-making in a commercial SaaS environment.