size_categories:n<1K format:parquet modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: texto
    dtype: string
  - name: palabras_clave
    dtype: string
  - name: media
    dtype: float64
  - name: desviacion_estandar
    dtype: float64
  - name: mediana
    dtype: float64
  splits:
  - name: train
    num_bytes: 581191
    num_examples: 996
  download_size: 363098
  dataset_size: 581191
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---


# Desviación, Mediana, media
![image/png](https://cdn-uploads.huggingface.co/production/uploads/641b435ba5f876fe30c5ae0a/Plcnz3gNHOch46RHSEgX5.png)


# Distribución de las Medias.
![image/png](https://cdn-uploads.huggingface.co/production/uploads/641b435ba5f876fe30c5ae0a/h14E3BKxhSL9PpwupIPRH.png)


![image/png](https://cdn-uploads.huggingface.co/production/uploads/641b435ba5f876fe30c5ae0a/Wskmdvzg5WkTm77uXbD6y.png)


# filtrar
```py
def filter_funtion(example):
    # return example["media"] >.45 and example["media"] < 0.65
    return example["media"] >.40 and example["media"] < 0.6

dataset = dataset.filter(filter_funtion)
```

# img

![image/png](https://cdn-uploads.huggingface.co/production/uploads/641b435ba5f876fe30c5ae0a/esV_eVVgBEaF2Fc8cBLhq.png)



![image/png](https://cdn-uploads.huggingface.co/production/uploads/641b435ba5f876fe30c5ae0a/nx1E_CNx6_n4C6rewp7Yx.png)

```
Percentil 2.5: 0.40439200000000003
Percentil 97.5: 0.5857880000000001
1 desviación estándar: (0.43049496605370396, 0.5264587304899399)
2 desviaciones estándar: (0.382513083835586, 0.5744406127080578)
3 desviaciones estándar: (0.3345312016174681, 0.6224224949261757)
```

# img
![image/png](https://cdn-uploads.huggingface.co/production/uploads/641b435ba5f876fe30c5ae0a/mFMtXA1wJPgl-bYJbUYSC.png)

