Pengolahan Data Numerik & Analisis

@Muhammadzeesha59

Hello Sir/Mam I am excited to offer my expertise in Data Analysis , Accounting and Finance , Data processing , Machine Learning, Automation, Data Protection, Technical Support , Computer Repair, Data Management, Data Recovery to assist . With a robust background in making case studies and projects, proficiency in R, spreadsheet tools, and Tableau, Power BI , SQL , Excel , SPSS Statistics , Data Entry . I am well-prepared to support you in your Project . My ability to deliver exceptional results on time and with utmost quality . I believe that my skill set makes me the ideal candidate for this project Please come on chat we will discuss more about this I will be waiting for your reply . Thank you !

@kabirchy

Hi there, I understand you're working with a large dataset requiring robust numerical data processing and basic text sentiment analysis. I can help streamline your workflow using Python (pandas, numpy) for efficient data cleaning, transformation, and aggregation. For the textual segments, I’ll apply lightweight sentiment analysis using libraries like TextBlob or VADER to extract sentiment scores (positive, negative, neutral) and integrate them back into your dataset. I'll ensure all steps are documented, reproducible, and deliverable in clean formats—whether Excel, CSV, or Jupyter Notebook. If needed, I can also generate simple visualizations to highlight key trends in both numeric and sentiment data. The entire process will be completed within 5 days, with clear communication throughout. Best Regards, Khorshed Alam, RS Software

@alizain721

Halo, saya akan membersihkan dan merapikan data numerik Anda, melakukan analisis deskriptif dan korelasi dasar, serta menjalankan analisis teks ringan untuk menggabungkan skor sentimen ke tabel utama. Saya akan menstandarkan satuan, memvalidasi rentang nilai, menangani data hilang, membuat visualisasi sederhana dan menyusun laporan ringkas dengan grafik atau tabel sesuai format yang Anda minta. Contoh proyek serupa yang saya kerjakan: Analisis Penjualan Eceran, di mana saya menulis skrip Python terdokumentasi untuk pembersihan numerik, analisis sentimen pada kolom komentar pelanggan, dan menghasilkan laporan PDF akhir. Apakah Anda akan mengirim file data dalam format CSV atau Excel? Senang untuk diskusi cepat jika Anda ingin saya mulai atau butuh klarifikasi. Salam, Ali Zain

@robertb297

Hi, this project is a strong match for my skillset — I regularly work with pandas for data cleaning (missing values, outlier/range validation, standardization) and descriptive statistics, and I've done sentiment/text analysis work as part of a university social media data mining project (Instagram hashtag analysis using NLP techniques). My approach: Clean & validate numeric data (missing values, range checks, unit standardization) Descriptive statistics + basic correlation analysis, with simple visualizations (matplotlib/seaborn) Lightweight sentiment/word-frequency analysis on the text column, merged back into the main table A concise summary report (key findings + recommendations) with supporting charts, delivered as Excel/CSV + PDF or PPT as you prefer All scripts will be well-documented (Python/pandas) so you can rerun or extend the analysis yourself later. Could you share a small sample of your dataset (even 20-30 rows) so I can give you an accurate time/cost estimate rather than a generic one? I'll also share relevant past work (a real estate dataset project with clustering/classification, and a social media text analysis project) once I understand your data structure better. Rate: $18/hr, happy to discuss based on scope once I see the sample.

@sanddep5

Data numerik yang rapi adalah fondasi analisis yang dapat dipercaya, sementara sentimen dari kolom teks dapat menambahkan useful context pada hasilnya. Saya dapat membersihkan dan menstandarkan dataset, menangani missing values serta validasi rentang, lalu menghasilkan statistik deskriptif, visualisasi, dan korelasi dasar sesuai kebutuhan. Untuk bagian teks, saya dapat melakukan analisis sentimen atau frekuensi kata dan menggabungkan hasilnya kembali ke tabel utama sehingga analisis numerik dan teks dapat dibaca bersama. Hasil akhirnya dapat disiapkan dalam Excel/CSV, dengan laporan PDF/PPT berisi temuan, grafik, dan rekomendasi. Pengalaman saya mencakup data cleaning, exploratory data analysis, statistical analysis, Python dengan Pandas/NumPy, data visualization, serta reporting automation. Saya juga dapat menyediakan skrip yang terdokumentasi agar prosesnya mudah direproduksi.

@SmartDevLabs

Halo, saya sudah paham kebutuhan Anda: pembersihan data numerik (validasi rentang, data hilang, standarisasi satuan), statistik deskriptif dengan visualisasi, analisis sentimen pada kolom teks pendek, lalu digabung kembali ke tabel utama, dan laporan ringkas (PDF/PPT). Yang saya kerjakan: - Pembersihan & standarisasi data numerik - Statistik deskriptif + korelasi dasar + grafik sederhana - Analisis sentimen/frekuensi kata pada kolom teks - Penggabungan hasil ke tabel utama - Laporan temuan kunci + rekomendasi Kirimkan saja file sampel (atau beberapa baris/sheet pertama) dan saya akan langsung jalankan lalu kirim balik hasil olahan sebagai contoh, sebelum Anda membayar apa pun. Bagian yang paling perlu hati-hati biasanya di penanganan data hilang/outlier numerik, karena keputusan di sini langsung memengaruhi akurasi statistik deskriptif dan korelasi. Data dan file Anda akan saya perlakukan rahasia, hanya digunakan untuk pekerjaan ini. Delivery: within 6 hours of award. Format output apa yang paling Anda inginkan untuk laporan akhirnya, PDF atau PPT? Happy to work via milestone so you only pay after you verify the cleaned data and report meet your standards - my quote is competitive for this scope.

@rahulsimraiya131

Anda membutuhkan solusi yang akurat untuk mengolah data numerik dalam jumlah besar sekaligus melakukan analisis teks sederhana agar menghasilkan insight yang mudah dipahami. Saya dapat membantu membersihkan, menganalisis, dan menyajikan data dalam laporan yang rapi dan siap digunakan. Dengan pengalaman 10+ tahun di Python, analisis data, machine learning, dan visualisasi data, saya dapat memberikan solusi yang akurat, terstruktur, dan siap digunakan. How I'll help: ➤ Membersihkan, memvalidasi, dan menstandarkan data numerik. ➤ Menyusun analisis statistik, visualisasi, dan korelasi sesuai kebutuhan. ➤ Melakukan analisis sentimen atau frekuensi kata pada data teks dan menggabungkan hasilnya ke dataset utama. ➤ Menyediakan kode yang terdokumentasi serta laporan lengkap dalam format yang Anda inginkan. My approach: Saya akan memulai dengan memahami struktur dataset dan tujuan analisis, kemudian melakukan proses pembersihan data, analisis numerik dan teks, serta menyusun laporan yang jelas dengan visualisasi pendukung agar hasilnya mudah dipahami dan siap digunakan. Saya siap mendiskusikan detail proyek dan dapat mulai bekerja segera. Best Regards, Rahul

@Hanken8or

INTRO We've recently helped a client streamline their data processing and analysis, resulting in actionable insights and improved decision-making. We can assist you in transforming your large dataset into a clean, organized format while performing comprehensive analyses that reveal critical trends. MIDDLE I understand the importance of delivering clean, professional, and user-friendly outputs. Your requirements for data cleaning, statistical analysis, and sentiment evaluation are well within our expertise. We specialize in data processing and analysis, using tools like Python and R. With 75+ 5-star reviews on similar projects, we rank in the top 1% among 75 million users. OUTRO It would be our privilege to help you with your project, and choosing us will be a decision you won’t regret. Regards, Henco Burger.

@amadorjay

Hi there, The hard part is not just cleaning the numerical data; it’s ensuring the sentiment analysis of the text segments aligns with your overall insights. First, we’ll focus on establishing a consistent structure for your numerical data, validating ranges and handling any missing values. Then, I’ll conduct the descriptive analysis along with the text sentiment analysis, ensuring both sets of findings are integrated effectively. Could you clarify the preferred format for the final report? Looking forward to discussing the details in chat.

@rocks081

Hi! Saya membaca deskripsi proyek Anda dengan teliti — data numerik + analisis sentimen adalah kombinasi yang sering saya kerjakan. Saya Python developer dengan pengalaman di: ✅ Data Cleaning & Preprocessing (pandas, numpy) — validasi rentang, missing values, standarisasi format ✅ Analisis Deskriptif & Visualisasi (matplotlib, seaborn) — ringkasan statistik, korelasi, chart profesional ✅ Sentiment Analysis (NLTK, TextBlob, transformer-based jika diperlukan) — klasifikasi sentimen & frekuensi kata ✅ Report Generation — Excel/CSV + PDF/PPT dengan temuan kunci Pendekatan saya: 1. Data assessment — pahami struktur & identifikasi issues 2. Cleaning — numerik + teks 3. Analisis deskriptif + visualisasi 4. Sentiment analysis pada kolom teks, hasil digabung ke tabel utama 5. Final report ringkas — temuan + rekomendasi + grafik Satu pertanyaan: apakah data teks dalam Bahasa Indonesia, Inggris, atau campuran? Ini penting untuk memilih model sentiment yang tepat. Rate $20/hr, estimasi 20-30 jam tergantung kompleksitas data. Kode terdokumentasi rapi, komunikasi proaktif, delivery tepat waktu. Saya sudah mengerjakan banyak proyek data processing & NLP — hasil akurat dan tepat sasaran. Let's discuss lebih lanjut!

@JaniceR92

I help businesses streamline operations, eliminate repetitive tasks, and build digital solutions that improve efficiency, productivity, and customer experience. With your project on numerical data processing and text analysis, I can provide the expertise you need. My approach focuses on delivering high-quality, scalable solutions tailored to your specific requirements. Here’s how I can assist you: ✔️ Data Cleaning & Formatting: I will ensure your numerical data is consistent, handling missing values and standardizing units effectively. ✔️ Descriptive Analysis: Expect comprehensive statistical summaries, simple visualizations, and basic correlation calculations to derive meaningful insights. ✔️ Text Analysis: I will conduct sentiment analysis and word frequency checks on your text entries, integrating these findings back into the main data table. ✔️ Reporting: A concise report will summarize key findings and recommendations, complete with relevant graphs and tables. ✔️ Documentation: All scripts or code will be well-documented for your review. Why Clients Hire Me: ⭐ 7+ years of customer service and operations experience ⭐ Proven expertise in data cleaning and analysis ⭐ 100+ automated workflows and business processes created ⭐ Clear communication, fast response times, and dependable delivery I have successfully completed similar projects, including one where I cleaned extensive datasets and performed text analysis, resulting in actionable insights that enhanced decision-making. If you’re looking for a proactive, dependable freelancer committed to delivering accurate results on time, I’d be thrilled to discuss your project further. Let’s build something that makes your data more impactful.

@FlowSource

⚠️ IF YOU ARE NOT SATISFIED, YOU DON’T PAY ⚠️ I just completed a similar project involving data processing and text analysis for a large dataset. I will help you clean, format, and analyze your numerical data while also providing sentiment analysis on the accompanying text segments. I understand the importance of having clean, professional, and user-friendly results, as well as the need for clear reporting of key findings. I specialize in data cleaning, statistical analysis, and visualization using Python and R, ensuring accurate results delivered on time. Even if you decide to work with someone else, you’re welcome to take our conversation as a free consultation and use any advice or recommendations I provide. Regards, Matthew Koegelenberg.