Webbteknik 2: Webb för Data Science & AI

Webb för Data Science och AI

Föreläsning 1

Att komma igång med dataforskning

Länkar kopplade till föreläsningen:

• Get started with data science Tutorial
• Plotly Gallery - inspiration of different data types and domains
• WebSTR project
• Examples of data focused web applications from Datastory
• The city of Umeå oppen data
• Kaggle notebooks collection
• BigQuery project example

Andra bra notebooks på kaggle:

• Spotify analysis and prediction
• Wildfire exploratory analysis
• Skin cancer prediction
• IMDB dataset movie recommendation

Example Hypertension Explorer

• Hypertension project on Gitlab
• Example app deployed in production

Web for data science, example (part 1)

Web for data science, project setup (part 2)

Web for data science, map visualization (part 3)

Web for data science, descriptive statistics (part 4)

Resources and useful links:

Data:

• Kaggle: https://www.kaggle.com/datasets
• Sveriges dataportal: https://www.dataportal.se/
• Öppna data: https://www.scb.se/vara-tjanster/oppna-data/

Data preparation:

• Pandas: https://pandas.pydata.org/

Visualisations:

• Apache echarts: https://echarts.apache.org/
• PlotlyJS: https://plotly.com/javascript/
• Data visualisation catalog: https://datavizcatalogue.com/