import pandas as pd
import numpy as np

df = pd.DataFrame({'value': np.random.randint(0, 100, 20)})
labels = ["{0} - {1}".format(i, i + 9) for i in range(0, 100, 10)]
df['range'] = pd.cut(df.value, range(0, 105, 10), right=False, labels=labels)
df['relation'] = pd.DataFrame({'value': np.random.randint(0, 100, 20)})
df['answer'] = np.tile(['good', 'bad', 'average'], df.index.size)[:df.index.size]
df['answer'] = df['answer'].astype('category')

In [2]: df.head(10)
Out[2]:
   value    range  relation   answer
0     16  10 - 19        19     good
1     52  50 - 59        61      bad
2     19  10 - 19        83  average
3     23  20 - 29        43     good
4     18  10 - 19        44      bad
5     41  40 - 49        86  average
6     52  50 - 59        40     good
7     78  70 - 79        74      bad
8     30  30 - 39        82  average
9     63  60 - 69        27     good