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# X-Lap in Action

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## Imports

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``` python

import logging

logger = logging.getLogger()

logger.setLevel(logging.DEBUG)

from ipywidgets import interact, interactive, fixed, interact_manual

import ipywidgets as widgets

from xlap.parse import evaluate, evaluate_side, parse_config

import xlap.analyse.jitter as jitter

from xlap.analyse.regress import linear as linear_regression

from xlap.analyse.trace import traces

from xlap.analyse.correlation import correlation

from xlap.analyse.latency import analyse

import pandas as pd

%matplotlib inline

```

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## Data Retrieval

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``` python

config = parse_config()

data_files = config["data_files"]

original = evaluate(data_files["sender"], data_files["receiver"], config=config, kind=0)

```

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## Traces

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``` python

traces(original, config)

```

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## Jitter Analysis

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``` python

df = jitter.prep(original, config=config)

jitter.trace_jitter(df, threshold=500)

```

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## Correlation

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``` python

correlation(df[df["EndToEnd_D"] < 500], config)

```

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## Latency Criticality

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``` python

d = analyse(original, config)

```

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### Correlations

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``` python

d.corr.sort_values(ascending=False)

```

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### Control Flow Graph

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``` python

d.cfg

```

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``` python

```