diff --git a/.gitignore b/.gitignore
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+++ b/.gitignore
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+# Byte-compiled Python files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# Jupyter Notebook checkpoints
+.ipynb_checkpoints/
+
+# R specific
+.Rhistory
+.RData
+.Ruserdata
+.Rproj.user/
+
+# Shell script temporary files
+*.sh~
+*.bak
+*.tmp
+
+# Virtual environments
+env/
+venv/
+ENV/
+.venv/
+.virtualenv/
+
+# Python packaging files
+*.egg
+*.egg-info/
+dist/
+build/
+*.whl
+
+# Logs and database
+*.log
+*.sqlite
+*.db
+
+# Environment and config files
+.env
+
+# Data and results
+data/raw/*
+!data/raw/.gitkeep
+results/figures/*
+results/tables/*
+results/logs/*
+!results/figures/.gitkeep
+!results/tables/.gitkeep
+!results/logs/.gitkeep
+
+# Docker
+*.env
+.dockerignore
+
+# Pixi
+.pixi
+
+# Miscellaneous
+.DS_Store
+Thumbs.db
+
+
+# IPython NB Checkpoints
+.ipynb_checkpoints/
+
+# exclude compiled binaries
+bin/
+
+# exclude data from source control by default
+/data/processed/
+/data/raw/
+
+# exclude external models from source control
+/src/external/
diff --git a/Dockerfile b/Dockerfile
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--- /dev/null
+++ b/Dockerfile
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+FROM python:3.9-slim
+
+# Install Pixi
+
+FROM ghcr.io/prefix-dev/pixi:latest
+
+# Set working directory
+WORKDIR /project
+
+# Copy project files
+COPY . .
+
+# Install dependencies
+RUN cd /project
+RUN pixi install
+
+# Default command
+CMD ["pixi", "run", "preprocess"]
+
diff --git a/LICENSE b/LICENSE
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index 0000000..fee9ac3
--- /dev/null
+++ b/LICENSE
@@ -0,0 +1,29 @@
+BSD License
+
+Copyright (c) 2024, Julian
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without modification,
+are permitted provided that the following conditions are met:
+
+* Redistributions of source code must retain the above copyright notice, this
+ list of conditions and the following disclaimer.
+
+* Redistributions in binary form must reproduce the above copyright notice, this
+ list of conditions and the following disclaimer in the documentation and/or
+ other materials provided with the distribution.
+
+* Neither the name of Bios259_Practice nor the names of its
+ contributors may be used to endorse or promote products derived from this
+ software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
+IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT,
+INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
+BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
+OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE
+OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED
+OF THE POSSIBILITY OF SUCH DAMAGE.
diff --git a/README.md b/README.md
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--- /dev/null
+++ b/README.md
@@ -0,0 +1,71 @@
+
+# Gapminder Project: Reproducible workflow with Pixi
+
+## Task description
+This project uses the Gapminder dataset to explore global development indicators like life expectancy, GDP per capita, and population.
+
+The workflow includes:
+- Data preprocessing
+- Analysis by continent
+- Visualization of results
+
+## Setup Instructions
+
+### 1. **Create a reproducible research using cookiecutter**:
+
+Here is the command to install and start the project using cookiecutter.
+```bash
+mamba install cookiecutter jinja2-time
+```
+```bash
+cookiecutter gh:bios259/cookie-for-reproducible-research
+```
+You can also check the GitHub repo to install cookiecutter and create a project - https://github.com/bios259/cookie-for-reproducible-research
+
+
+### 2. **Copy necessary from this repo**:
+Copy the necessary files (scripts and data) from this repo to making the project as Pixi and add the scripts and data.
+
+Check the `pixi.toml` file for more details.
+
+### 3. **Install Pixi packages and run the Pixi tasks**:
+
+- Install pixi dependencies after copying the pixi.toml:
+
+```bash
+pixi install
+```
+- Preprocess the data:
+
+```bash
+pixi run preprocess
+```
+
+- Analyze the data:
+```bash
+pixi run analyze
+```
+
+- Visualize the results:
+```bash
+pixi run visualize
+```
+
+### 4. **Run with Docker**:
+
+Build and run the Docker container:
+```bash
+docker build -t gapminder-project .
+docker run -v $(pwd):/app -it gapminder-project
+```
+
+## Results
+- **Cleaned Data**:
+`data/processed/cleaned_gapminder.csv`
+
+- **Summary Table**:
+`results/tables/continent_summary.csv`
+
+- **Figures**:
+ - Life Expectancy: `results/figures/life_expectancy_over_time.png`
+ - GDP per Capita: `results/figures/gdp_per_capita_distribution.png`
diff --git a/config/.gitkeep b/config/.gitkeep
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index 0000000..e69de29
diff --git a/data/.gitkeep b/data/.gitkeep
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index 0000000..e69de29
diff --git a/environments/.gitkeep b/environments/.gitkeep
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index 0000000..e69de29
diff --git a/notebooks/.gitkeep b/notebooks/.gitkeep
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index 0000000..e69de29
diff --git a/notebooks/gapminder-notebook.ipynb b/notebooks/gapminder-notebook.ipynb
new file mode 100644
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+++ b/notebooks/gapminder-notebook.ipynb
@@ -0,0 +1,362 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "a344b3c2-ab29-4b0d-99f5-d2ffce7b70a1",
+ "metadata": {},
+ "source": [
+ "# Gapminder Dataset Workflow\n",
+ "> Preprocessing, Analysis, and Visualization"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "7d505565-ecf0-4b72-ab0e-9b9dec537c90",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import pandas as pd\n",
+ "import seaborn as sns\n",
+ "import matplotlib.pyplot as plt\n",
+ "import os"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a6a867f8-da57-4f89-bef3-af0312656031",
+ "metadata": {},
+ "source": [
+ "## Set up directories"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "af14eb9b-75c2-44bc-a27d-c1b3642751bf",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Replace with the correct path to your Gapminder dataset\n",
+ "DATA_FILE = \"data/raw/gapminder-FiveYearData.csv\" \n",
+ "RESULTS_DIR = \"results\"\n",
+ "\n",
+ "os.makedirs(RESULTS_DIR, exist_ok=True)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "61aa93b5-8995-48b6-a927-8e7666e9a605",
+ "metadata": {},
+ "source": [
+ "## Step 1: Preprocessing"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "ea43745c-75b5-4ce4-be8b-db36ecef322b",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Preprocessing data...\n",
+ "Cleaned data saved to results/tables/cleaned_gapminder.csv\n"
+ ]
+ }
+ ],
+ "source": [
+ "def load_and_clean_data(data_file):\n",
+ " \"\"\"\n",
+ " Load and clean the Gapminder dataset.\n",
+ " - Handles missing values.\n",
+ " - Formats column names if necessary.\n",
+ " \"\"\"\n",
+ " data = pd.read_csv(data_file)\n",
+ " \n",
+ " # Rename columns for better readability (optional)\n",
+ " data.columns = [col.strip().replace(\" \", \"_\").lower() for col in data.columns]\n",
+ " \n",
+ " # Drop rows with missing values\n",
+ " data = data.dropna()\n",
+ " \n",
+ " return data\n",
+ "\n",
+ "# Load and preprocess the data\n",
+ "print(\"Preprocessing data...\")\n",
+ "data = load_and_clean_data(DATA_FILE)\n",
+ "cleaned_data_file = f\"{RESULTS_DIR}/tables/cleaned_gapminder.csv\"\n",
+ "data.to_csv(cleaned_data_file, index=False)\n",
+ "print(f\"Cleaned data saved to {cleaned_data_file}\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "00b778eb-511d-4730-a2d9-928421334395",
+ "metadata": {},
+ "source": [
+ "## Step 2: Analysis"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "id": "f26c98d0-adb5-4b64-8fc8-913a0b4082fd",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " country | \n",
+ " year | \n",
+ " pop | \n",
+ " continent | \n",
+ " lifeexp | \n",
+ " gdppercap | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
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\n",
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+ " 31.997 | \n",
+ " 853.100710 | \n",
+ "
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+ " \n",
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+ " Afghanistan | \n",
+ " 1967 | \n",
+ " 11537966.0 | \n",
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+ " 34.020 | \n",
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+ "
\n",
+ " \n",
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+ " 1972 | \n",
+ " 13079460.0 | \n",
+ " Asia | \n",
+ " 36.088 | \n",
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+ "
\n",
+ " \n",
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+ "