For each file, we read the filename with os.path.basename, split the name on the dot (. The glob function returns the list of files in the happiness/data folder, that we loop over. Let's create a folder named happiness and a subfolder named data for storing the files: It contains 5 CSV files, one per year, listing the happiness ranking of various countries together with some other indicators. They have a nice dataset about World Happiness which only requires a login to be downloaded. Kaggle is a website widely used in the data science community, providing datasets used for challenges, competitions or learning. Today, the objective is simple: we will explore a happiness dataset and try to find out where in the world we should move to have joyful life!Īs mentioned before, begin by finding a dataset. These each enable us to clean a dataset and push it to a PostgreSQL database where the data can later be queried and exposed to a huge variety of company figures. This blog post explores three such libraries: pandas, ddlgenerator and psycopg2. One of the most widely-used languages in the creation of information is Python, loved by data scientists, engineers and analysts alike for its great ecosystem of existing libraries for data wrangling. By the time you're finished you've built something beautiful and gained new insights to share - and then you start all over again. It starts with finding the materials (in this case, datasources) and continues with cleaning, joining and wrangling datasets. Creating information is just like any creative process.
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