API Project by ISAQUE DE SOUZA COSTA

Project Objective

isaquecosta01 — 2024-06-20 19:58:33 UTC

The "Trelawney" project began with a problem presented by our client, a researcher who studies the climate in the state of São Paulo. He was receiving weather data from stations in various cities in the format of CSV files, which are files that store information separated by commas. These files contained the date, time, weather variable, variable value, city acronym and weather station code. The client needed a solution that would allow these files to be sent, their content to be validated and reports to be generated via an automated system. Based on this need, we developed Trelawney to facilitate the import, validation and analysis of this data.

Trelawney's main features

isaquecosta01 — 2024-06-20 20:26:42 UTC

Trelawney allows the user to import CSV files, create and associate city names with the data contained in these files, and save this information in a database. The system automatically alerts you when the imported values exceed user-defined limits, such as a temperature that exceeds 40°C or drops below 0°C. In addition, the user can edit and save these values. It is also possible to record data manually, without importing a file, and to create, edit and delete the name and acronym of cities and the station code. Trelawney also allows you to describe units of measurement, such as °C, with the description "degrees Celsius".

Trelawney Reports and Benefits

isaquecosta01 — 2024-06-20 20:27:14 UTC

The system offers several options for generating reports. Among them is the average report for each city and climate variable, such as the average temperature in São José dos Campos. Another report allows you to calculate the average for a date range specified by the user. Trelawney can also generate a boxplot report, which shows quartiles (1, 2, 3), upper and lower limits, and outliers, i.e. values that exceed normal limits. With these features, Trelawney automates the import and validation of meteorological data, facilitates information management and offers detailed analysis, making the researcher's work more efficient and accurate.