Analyze Titanic Data with Python: Insights & Survival Patterns

Analyze Titanic Data with Python: Insights & Survival PatternsAnalyze Titanic Data with Python: Insights & Survival Patterns

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Adina Shahid

• May 5

I analyzed the Titanic dataset using Python by cleaning data, handling missing values, and performing exploratory data analysis (EDA). I visualized key patterns and found insights such as higher survival rates for females and first-class passengers. Tools used: Python, Pandas, NumPy, Matplotlib, Seaborn.

Data Science Data Analysis pandas Jupyter Python

Sujon Hossain

pro

• May 3

Finance data shouldn’t feel complicated. Built this dashboard to make analytics faster, cleaner, and easier to understand.

UX Design UI Design Figma

Nagaraj M

• May 3

Looks clean and neat

Istiak Ahmed Khan

• May 2

Managing logistics operations without clear insights can lead to delays, inefficiencies, and lost revenue. This dashboard is built to give you complete visibility into your transportation performance — all in one place.

A powerful analytics solution that helps you track bookings, delivery performance, delays, and operational efficiency in real time. Designed for clarity and speed, so you can make decisions without digging through raw data.

🔹Monitor on-time vs delayed deliveries instantly 🔹Track booking trends and operational workload over time 🔹Analyze trip efficiency with lead time and distance metrics 🔹Identify peak hours and demand patterns 🔹Evaluate top drivers and most frequent routes/destinations 🔹Compare weekday vs weekend performance

If you want a clean, professional dashboard that turns your logistics data into real operational insights, I can build a custom solution tailored to your business needs.

Data Science Data Visualization Data Analysis Excel VBA SQL Microsoft Power BI datavisualizer

Geethasree Naguboina

pro

• May 6

The PM peak hour heatmap by day is the most actionable view here — you can see Wednesday 3PM spiking immediately without digging through any data. That kind of instant pattern recognition is exactly what operations managers need to plan driver allocation. What industry was this built for?

Adinath Chavan

• May 3

It is an Retail / E-commerce Analytics Project ,This Is an Multi -page Dashboards Work It Get detail Customer Analysis , Product Analysis, Sales Transaction Analysis, the Tools used are Excel , Power BI , It also Get some Statistical Thinking and Analysis