🧠 Title: Statistical Analysis of 325 Survey Responses for Research Study
📌 Problem: The client required a complete statistical analysis of survey data (325 respondents) to examine relationships between multiple factors such as organizational support, job involvement, and employee engagement.
They needed:
1. Correct statistical test selection
2. Accurate analysis
3. Clear interpretation for research reporting
⚙️ Approach: I followed a structured analytical process:
1. Data cleaning and preprocessing
2. Reliability testing (Cronbach’s Alpha)
3. Descriptive statistics
4. Correlation analysis
5. Regression analysis
6. Hypothesis testing using SPSS
🛠 Tools Used: SPSS, Excel, R, Python
📊 Results
1. Identified significant relationships between key variables
2. Established impact of organizational support on engagement
3. Generated clear statistical outputs with interpretation
🎯 Outcome: The client successfully completed their research project with strong statistical backing and well-structured results for their report/dissertation.
💡 Key Value Delivered
1. Accurate and reliable statistical analysis
2. Easy-to-understand interpretation
3. Research-ready outputs
Following the links, I counted 2,232 photos on the site. The server had 4,786.
The site was a photo archive of 128 galleries built in Microsoft FrontPage, and I was moving it to WordPress. Some galleries could only be reached from a frame or a JavaScript menu, so a link crawl missed more than half of the photos. I took the inventory from the files on the server instead.
The captions were the second problem. One archive held four different text encodings, and three of them would have scrambled the Polish captions without any warning. They reached WordPress character for character.
On launch day all 15,205 old addresses answered with a permanent redirect, and none of them returned an error. Of those, 9,602 were image files that Google Images had been linking to for years.