PL - Aula 1
21 Setembro 2023 - #DAA
Types of Data
-Numerical
- Discrete Data ({1,2,3,...})
- Continuous Data ([1, +
- Categorical (binary, languages, ...)
- Ordinal (ratings of 1 to 5)
*not-scaled
**scaled
Numérico: continuous data
Categórico
Numérico: discreto
Mean, Median & Mode
A mean in math is the average of a data set, found by adding all numbers together and then dividing the sum of the numbers by the number of numbers.
Standard Deviation & Variance
Probability Density functions
Percentiles
There are 3 important percentiles:
- 50% - median
- 25% - 1st percentile
- 75% - 3rd percentile
These 3 percentiles allow the creation of box plot graphs. These specific graphs allow the discovery and presentation of outliers.
Covariance & Correlation
Covariance measures the direction of a relationship between two variables, while correlation measures the strength of that relationship.
Covariance is hard to interpret, thus correlation is used instead.
In a dataset, correlations >0.5 are considerable.
Practical session of the class: miniconda
IDEs: PyCharm, VS Code, (Jupyter - not recommended)
Depois de instalar o miniconda, correr os seguintes comandos:
- conda create --name daaEnv python=3.10
- conda activate daaEnv
- python --version
- conda install pandas
- conda install xlrd
- conda install xlwt
- conda install matplotlib
- conda install seaborn
- conda install scikit-learn
- conda install jupyterlab
- conda list
Resource links
- https://en.wikipedia.org/wiki/Average
- https://en.wikipedia.org/wiki/Median
- https://en.wikipedia.org/wiki/Mode_(statistics)
- https://en.wikipedia.org/wiki/Standard_deviation
- https://en.wikipedia.org/wiki/Variance
- https://en.wikipedia.org/wiki/Probability_density_function
- https://en.wikipedia.org/wiki/Percentile
- https://en.wikipedia.org/wiki/Covariance
- https://en.wikipedia.org/wiki/Correlation