Analisis Data Deskriptif Database

@NEHABHAT92

With over 9+ years of experience in web and mobile application development, I've gained strong programming skills that extend to Python - which serves as a powerful analytical tool tailored for data extraction, analysis and visualization. I believe my skills and experience are well aligned with the scope of your project: extracting data from MYOB's database with provided queries, cleaning data if necessary, creating detailed numeric summaries, even producing simple yet informative visualizations. Moreover, I place great emphasis on effective communication and efficiency. I will keep you informed on the best approach I intend to take at each stage and provide well-documented analysis files that ensure replicability in future scenarios. A "data-story" singkat as you requested should be no problem; I prioritize actionable insights in a non-technical language. By hiring me for this task, you'll not only get the required insights but an efficient collaborator who provides end to end services including writing a comprehensive report. Lastly, my cost-effective service aligned with my deep-rooted value of client satisfaction will provide added benefits beyond your project completion. Offering free 3 months support post-delivery illustrates loyalty towards my clients and guarantees any issues or queries related to the project will be covered diligently. To conclude, let me convert your rich stored data into an actionable story that empowers your non-technical team to make

@Nordikdata

You get a clear descriptive overview of your MYOB database, including mean, median, distribution and outlier flags, packaged into a visual summary your non-technical team can actually read. This fits the Sheets and Data Cleanup package at 149 EUR, which covers the light cleaning, statistical summary and a dashboard with the key trend visuals. The approach is schema-first cleanup: I map your MYOB ODBC dump structure before touching any numbers, so the descriptive stats stay consistent across all fields. Send me a sample dump or export from MYOB and I can confirm the field structure and turn this around fast.

@BrocoDevServices

Analisis MYOB dapat terlihat rapi tetapi tetap menyesatkan jika duplikat, format tanggal, atau nilai kosong tidak dicatat sebelum statistik dihitung. Saya akan membuat jejak QA dari data mentah ke tabel bersih, lalu mengaitkan setiap grafik dan temuan dengan kolom sumbernya. Penawaran tetap $12 ini mencakup satu dump database CSV/XLSX (bukan akses ODBC langsung), maksimal tiga tabel terkait / 25.000 baris total / 30 kolom, pembersihan ringan, statistik deskriptif, tren dan outlier, maksimal lima grafik sederhana, cerita data 1–2 halaman dalam bahasa Indonesia, notebook Jupyter yang dapat dijalankan ulang, dan satu putaran revisi dalam 2 hari. Peramalan/ML, keputusan akuntansi/audit, akses kredensial atau database produksi, dan tabel tambahan tidak termasuk. Contoh QA Excel berbasis data publik yang independen—bukan pekerjaan klien: https://www.freelancer.com/portfolio-items/11492374-excel-productivity-system-qa Kriteria penerimaan: jumlah baris sebelum/sesudah direkonsiliasi; semua transformasi dicatat; notebook berjalan ulang pada dump yang disepakati; angka grafik cocok dengan tabel ringkasan; dan asumsi/outlier diberi label, bukan ditebak. Sebelum award, kirim skema anonim, contoh dump, dan pertanyaan bisnis utama agar saya dapat memastikan batas tersebut cocok. Pekerjaan dimulai setelah milestone $12 penuh didanai.