<jupyter_start><jupyter_text>Let's be responsible when we read in our data* Look at the first few (and maybe maybe maybe the last few)* See how many rows and columns you have* Check the datatypes to make sure they make sense<jupyter_code># Go inside of the 'potholes' folder
# and then open up 2007-2017 POTHOLE.xls
df = pd.read_excel("potholes/2007-2017 POTHOLE.xls")
df.head()
df.shape
df.dtypes
# "a number of bits"
2*2*2*2*2*2*2*2*2*2*2*2*2*2*2*2
2*2*2*2*2*2*2*2
df.tail()
# Most popular street for potholes?
df.Street.value_counts()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.12345679012345678, 'fraction_numerical': 0.07054673721340388, 'mean_word_length': 5.682352941176471, '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': '527246', 'license': 'MIT', 'n_tokens_mistral': 244, 'n_tokens_neox': 228, 'n_words': 69, 'path': '06-potholes-soma.ipynb', 'repo_name': 'domhnallog/06-classwork', 'size': '567'}