<jupyter_start><jupyter_text>Visualizations for Sector Analysis<jupyter_code>#Import libraries

import pandas as pd
import numpy as np
import plotly.plotly as py
import plotly.graph_objs as go
#Load data

vizdata = pd.read_excel('/Users/kevin/Documents/usaidbizdev/Data/USAID_20180305-201018_ENRICHED.csv')<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.08333333333333333, 'fraction_numerical': 0.041666666666666664, 'mean_word_length': 7.641025641025641, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '123094', 'license': 'MIT', 'n_tokens_mistral': 136, 'n_tokens_neox': 122, 'n_words': 25, 'path': 'DataViz/Viz1_Oppty_by_Sector.ipynb', 'repo_name': 'kcdenman/usaidbizdev', 'size': '336'}