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Fixed broken doc links
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README.md

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@@ -46,7 +46,7 @@ If you already make use of a custom PostgreSQL db backend you can set the path i
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TIMESCALE_DB_BACKEND_BASE = "django.contrib.gis.db.backends.postgis"
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```
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3. Inherit from the TimescaleModel. A [hypertable](https://docs.timescale.com/latest/using-timescaledb/hypertables#react-docs) will automatically be created.
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3. Inherit from the TimescaleModel. A [hypertable](https://docs.timescale.com/use-timescale/latest/hypertables/about-hypertables/) will automatically be created.
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```python
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As such the use of the Django's ORM is perfectally suited to this type of data. By leveraging a custom model manager and queryset we can extend the queryset methods to include Timescale functions.
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#### Time Bucket [More Info](https://docs.timescale.com/latest/using-timescaledb/reading-data#time-bucket)
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#### Time Bucket [More Info](https://docs.timescale.com/use-timescale/latest/time-buckets/about-time-buckets/)
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```python
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Metric.timescale.filter(time__range=date_range).time_bucket('time', '1 hour')
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<TimescaleQuerySet [{'bucket': datetime.datetime(2020, 12, 22, 11, 0, tzinfo=<UTC>)}, ... ]>
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```
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#### Time Bucket Gap Fill [More Info](https://docs.timescale.com/latest/using-timescaledb/reading-data#gap-filling)
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#### Time Bucket Gap Fill [More Info](https://docs.timescale.com/use-timescale/latest/hyperfunctions/gapfilling-interpolation/time-bucket-gapfill/)
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```python
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from metrics.models import *
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<TimescaleQuerySet [{'bucket': datetime.datetime(2020, 12, 21, 21, 24, tzinfo=<UTC>), 'temperature__avg': None}, ...]>
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```
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#### Histogram [More Info](https://docs.timescale.com/latest/using-timescaledb/reading-data#histogram)
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#### Histogram [More Info](https://docs.timescale.com/api/latest/hyperfunctions/histogram/)
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```python
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from metrics.models import *

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