You will get Python data cleaning applicable to Excel and Csv.
Project details
Solve messy data problems using Python and Excel tools.
#### Core services
• **Data cleaning**: Eliminate null values and correct formatting errors (standardize dates, currencies, and units).
• **Duplicate removal and verification**: Automatically remove duplicates based on multiple fields (such as ID, timestamp).
• **Report generation**: Generate clear visual charts in Excel or PDF format.
#### Other advantages
• *24-hour basic delivery* | *3 free revisions*
• Support CSV, XLSX, and JSON files, compatible with Windows and Mac systems.
### About me
• 5 years of data analysis experience, 100% positive feedback from over 200 projects.
• Provide **express service** (delivered in 12 hours, additional $30).
• Bilingual support in Chinese and English, online response
#### Core services
• **Data cleaning**: Eliminate null values and correct formatting errors (standardize dates, currencies, and units).
• **Duplicate removal and verification**: Automatically remove duplicates based on multiple fields (such as ID, timestamp).
• **Report generation**: Generate clear visual charts in Excel or PDF format.
#### Other advantages
• *24-hour basic delivery* | *3 free revisions*
• Support CSV, XLSX, and JSON files, compatible with Windows and Mac systems.
### About me
• 5 years of data analysis experience, 100% positive feedback from over 200 projects.
• Provide **express service** (delivered in 12 hours, additional $30).
• Bilingual support in Chinese and English, online response
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$15
|
Standard
$50
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 1 day | 1 day | 1 day |
Number of Revisions | 1 | 1 | 2 |
Number of Pages Mined/Scraped | 100 | 200 | 300 |
Optional add-ons
You can add these on the next page.
Additional Revision
+$10About Liu
Data Organization, Analysis and Its Visualization
Shenyang, China - 6:47 am local time
✦ Core Skills:
🎯 Data Surgeon: Expert in Pandas/NumPy for data cleaning (missing value imputation with df.fillna() , outlier detection using IQR), merged 10+ heterogeneous datasets for an e-commerce client, achieving 99.7% data integrity.
📊 Visual Storyteller: Created interactive dashboards with Plotly, identified customer churn patterns via heatmaps, and optimized marketing strategies through cohort analysis. Reduced manual reporting time by 80% for 3+ clients.
🤖 Automation Guru: Built Python scripts for batch processing (PDF→Excel conversion using tabula-py ), saving 150+ hours annually for logistics companies.
✨ Academic Edge: Developed a real-time air quality prediction model (MAE<2.5) and NLP-based sentiment analysis toolkit, published clean code on GitHub with detailed documentation.
💡 Commitment: Fast turnaround (90% tasks delivered within 48hrs), provide actionable insights through "Data Deep-Dive Reports".
Steps for completing your project
After purchasing the project, send requirements so Liu can start the project.
Delivery time starts when Liu receives requirements from you.
Liu works on your project following the steps below.
Revisions may occur after the delivery date.
Python data cleaning applicable to files such as Excel and Csv.
Core services **Data cleaning**: Eliminate null values and correct formatting errors (standardize dates, currencies, and units). - **Duplicate removal and verification**: Automatically remove duplicates based on multiple fields