<｜begin▁of▁sentence｜>### Instruction:
Suppose you're a Security Analyst tasked with assessing the stability of a computer network by examining its structure and the connections between its components. You have a dataset representing the network's connections, where each line is a string detailing an edge and its attributes within the network. Your objective is to utilize NetworkX to construct a diagrammatic representation of this network for analysis.

To facilitate this, you will need to convert the list of string representations of the edge list, each including dictionary-formatted data, into a NetworkX Graph. Following that, you must generate an overview report that displays all the graph's nodes and the intricacies of their interconnections, including any attached data for further scrutiny.

Here, you have the specified edge list as strings with data attributes:

```
[
    "node1 node2 {'weight': 7, 'relationship': 'friendship'}",
    "node2 node3 {'weight': 3, 'relationship': 'colleague'}",
    "node3 node4 {'weight': 1, 'relationship': 'acquaintance'}",
]
```

Can you describe the process of translating this data into a NetworkX Graph using the 'parse_edgelist' function and then reporting on the graph's nodes and connections in a format suitable for a security analysis, while ensuring that the specifics of the graph's connections remain intact and accessible?
### Response:
import networkx as nx

# Edgelist with data in Python dictionary representation
lines=["1 2 {'weight': 3}","2 3 {'weight': 27}","3 4 {'weight': 3.0}"]

# Parse the edgelist to create a graph
G = nx.parse_edgelist(lines, nodetype=int)

# Print the resulting graph's nodes and edges with data
echo_nodes = list(G.nodes())
echo_edges = list(G.edges(data=True))
print('Nodes:', echo_nodes)
print('Edges with Data:', echo_edges)
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