Index

A

adf_test() (in module data_describe.core.time) as_percentage (data_describe.core.summary.SummaryWidget attribute)

association_matrix (data_describe.core.correlation.CorrelationWidget attribute) auto_float (data_describe.core.summary.SummaryWidget attribute)

B

bag_of_words_to_docs() (in module data_describe.text.text_preprocessing)

BaseWidget (class in data_describe._widget)

C

categorical (data_describe.core.correlation.CorrelationWidget attribute) cluster() (in module data_describe.core.clustering) cluster_matrix (data_describe.core.correlation.CorrelationWidget attribute) cluster_range (data_describe.core.clustering.ClusterWidget attribute) cluster_search_plot() (data_describe.core.clustering.ClusterWidget method) clusters (data_describe.core.clustering.ClusterWidget attribute) ClusterWidget (class in data_describe.core.clustering) coherence_values() (data_describe.text.topic_modeling.TopicModelWidget property)

colnames (data_describe.core.heatmap.HeatmapWidget attribute) compute_sensitive_data() (in module data_describe.privacy.detection) corpus() (data_describe.text.topic_modeling.TopicModelWidget property) correlation_matrix() (in module data_describe.core.correlation) CorrelationWidget (class in data_describe.core.correlation) create_doc_term_matrix() (in module data_describe.text.text_preprocessing) create_mapping() (in module data_describe.privacy.detection) create_tfidf_matrix() (in module data_describe.text.text_preprocessing)

D

data_describe module data_describe._version module data_describe._widget module data_describe.backends module data_describe.backends._backends module data_describe.backends.compute module data_describe.backends.compute._modin module data_describe.backends.compute._pandas module data_describe.backends.viz module data_describe.backends.viz._plotly module data_describe.backends.viz._pyLDAvis module data_describe.backends.viz._seaborn module data_describe.compat module data_describe.compat._dataframe module data_describe.compat._dependency module data_describe.compat._notebook module data_describe.config module data_describe.config._config module data_describe.core module data_describe.core.clustering module data_describe.core.correlation module data_describe.core.distributions module data_describe.core.heatmap module data_describe.core.importance module

data_describe.core.scatter module data_describe.core.summary module data_describe.core.time module data_describe.dimensionality_reduction module data_describe.dimensionality_reduction.dimensionality_reduction module data_describe.metrics module data_describe.metrics.bivariate module data_describe.metrics.univariate module data_describe.misc module data_describe.misc.colors module data_describe.misc.file_ext module data_describe.misc.load_data module data_describe.misc.logging module data_describe.misc.preprocessing module data_describe.privacy module data_describe.privacy.detection module data_describe.text module data_describe.text.text_preprocessing module data_describe.text.topic_modeling module data_heatmap() (in module data_describe.core.heatmap) data_summary() (in module data_describe.core.summary) diagnostics (data_describe.core.scatter.ScatterWidget attribute) dictionary() (data_describe.text.topic_modeling.TopicModelWidget property) dim_method (data_describe.core.clustering.ClusterWidget attribute) dim_reduc() (in module data_describe.dimensionality_reduction.dimensionality_reduction) display_topic_keywords() (data_describe.text.topic_modeling.TopicModelWidget method) distribution() (in module data_describe.core.distributions) DistributionWidget (class in data_describe.core.distributions) download_gcs_file() (in module data_describe.misc.load_data)

E

elbow_plot() (data_describe.text.topic_modeling.TopicModelWidget method)

encrypt_text() (in module data_describe.privacy.detection) estimator (data_describe.core.clustering.ClusterWidget attribute)

F

figure_layout() (in module data_describe.core.time)

filter_dictionary() (in module data_describe.text.text_preprocessing) fit() (data_describe.text.topic_modeling.TopicModelWidget method)

G

gensim (in module data_describe.text.topic_modeling) get_option() (in module data_describe.config._config)

get_p_RdBl_cmap() (in module data_describe.misc.colors) get_topic_nums() (data_describe.text.topic_modeling.TopicModelWidget method)

H

hash_string() (in module data_describe.privacy.detection)

HeatmapWidget (class in data_describe.core.heatmap) heteroscedastic() (in module data_describe.metrics.bivariate)

I

identify_column_infotypes() (in module data_describe.privacy.detection) identify_infotypes() (in module data_describe.privacy.detection) identify_pii() (in module data_describe.privacy.detection) importance() (in module data_describe.core.importance) info_data (data_describe.core.summary.SummaryWidget attribute)

input_data (data_describe.core.clustering.ClusterWidget attribute) (data_describe.core.distributions.DistributionWidget attribute) (data_describe.core.heatmap.HeatmapWidget attribute) (data_describe.core.scatter.ScatterWidget attribute) (data_describe.core.summary.SummaryWidget attribute) is_filetype() (in module data_describe.misc.file_ext)

J

JupyterPlotlyWarning

JupyterPlotlyWarning.args (class in data_describe.compat._notebook)

K

kpss_test() (in module data_describe.core.time)

L

lemmatize() (in module data_describe.text.text_preprocessing)

load_data() (in module data_describe.misc.load_data) logger (in module data_describe.privacy.detection)

M

matrix() (data_describe.text.topic_modeling.TopicModelWidget property) max_topics() (data_describe.text.topic_modeling.TopicModelWidget property) method (data_describe.core.clustering.ClusterWidget attribute) metric (data_describe.core.clustering.ClusterWidget attribute) min_topics() (data_describe.text.topic_modeling.TopicModelWidget property) missing (data_describe.core.heatmap.HeatmapWidget attribute) missing_data (data_describe.core.heatmap.HeatmapWidget attribute) mode (data_describe.core.scatter.ScatterWidget attribute) mode1() (in module data_describe.core.summary) model() (data_describe.text.topic_modeling.TopicModelWidget property) model_type() (data_describe.text.topic_modeling.TopicModelWidget property) module data_describe data_describe._version data_describe._widget data_describe.backends data_describe.backends._backends data_describe.backends.compute data_describe.backends.compute._modin data_describe.backends.compute._pandas data_describe.backends.viz data_describe.backends.viz._plotly data_describe.backends.viz._pyLDAvis data_describe.backends.viz._seaborn data_describe.compat data_describe.compat._dataframe data_describe.compat._dependency data_describe.compat._notebook data_describe.config data_describe.config._config data_describe.core data_describe.core.clustering data_describe.core.correlation data_describe.core.distributions data_describe.core.heatmap data_describe.core.importance data_describe.core.scatter data_describe.core.summary data_describe.core.time data_describe.dimensionality_reduction data_describe.dimensionality_reduction.dimensionality_reduction data_describe.metrics data_describe.metrics.bivariate data_describe.metrics.univariate data_describe.misc data_describe.misc.colors data_describe.misc.file_ext data_describe.misc.load_data data_describe.misc.logging data_describe.misc.preprocessing data_describe.privacy data_describe.privacy.detection data_describe.text data_describe.text.text_preprocessing data_describe.text.topic_modeling

mpl_to_plotly_cmap() (in module data_describe.misc.colors)

N

n_clusters (data_describe.core.clustering.ClusterWidget attribute) ngram_freq() (in module data_describe.text.text_preprocessing) nltk (in module data_describe.text.text_preprocessing)

nltk_download() (in module data_describe.compat._dependency) num_data (data_describe.core.scatter.ScatterWidget attribute) num_topics() (data_describe.text.topic_modeling.TopicModelWidget property)

O

Options (class in data_describe.config._config)

options (in module data_describe.config._config) OutputLogger (class in data_describe.misc.logging)

P

plot_autocorrelation() (in module data_describe.core.time) plot_distribution() (data_describe.core.distributions.DistributionWidget method) plot_time_series() (in module data_describe.core.time) plotly_check() (in module data_describe.compat._dependency)

preprocess() (in module data_describe.misc.preprocessing) preprocess_texts() (in module data_describe.text.text_preprocessing) presidio_download() (in module data_describe.compat._dependency) presidio_engine() (in module data_describe.privacy.detection)

R

redact_info() (in module data_describe.privacy.detection) reductor (data_describe.core.clustering.ClusterWidget attribute) remove_digits() (in module data_describe.text.text_preprocessing) remove_punct() (in module data_describe.text.text_preprocessing) remove_single_char_and_spaces() (in module data_describe.text.text_preprocessing)

remove_stopwords() (in module data_describe.text.text_preprocessing) run_ipca() (in module data_describe.dimensionality_reduction.dimensionality_reduction) run_pca() (in module data_describe.dimensionality_reduction.dimensionality_reduction) run_tsne() (in module data_describe.dimensionality_reduction.dimensionality_reduction) run_tsvd() (in module data_describe.dimensionality_reduction.dimensionality_reduction)

S

sample (data_describe.core.scatter.ScatterWidget attribute) scaled_data (data_describe.core.clustering.ClusterWidget attribute) scatter_plots() (in module data_describe.core.scatter) ScatterWidget (class in data_describe.core.scatter) scores (data_describe.core.clustering.ClusterWidget attribute) search (data_describe.core.clustering.ClusterWidget attribute) sensitive_data() (in module data_describe.privacy.detection) SensitiveDataWidget (class in data_describe.privacy.detection) set_option() (in module data_describe.config._config) show() (data_describe._widget.BaseWidget method) (data_describe.core.clustering.ClusterWidget method) (data_describe.core.correlation.CorrelationWidget method) (data_describe.core.distributions.DistributionWidget method) (data_describe.core.heatmap.HeatmapWidget method) (data_describe.core.scatter.ScatterWidget method) (data_describe.core.summary.SummaryWidget method) (data_describe.privacy.detection.SensitiveDataWidget method) (data_describe.text.topic_modeling.TopicModelWidget method)

skew_factor (data_describe.core.distributions.DistributionWidget attribute) skew_value (data_describe.core.distributions.DistributionWidget attribute) skewed() (in module data_describe.metrics.univariate) spike_factor (data_describe.core.distributions.DistributionWidget attribute) spike_value (data_describe.core.distributions.DistributionWidget attribute) spikey() (in module data_describe.metrics.univariate) stationarity_test() (in module data_describe.core.time) std_data (data_describe.core.heatmap.HeatmapWidget attribute) stem() (in module data_describe.text.text_preprocessing) summary_data (data_describe.core.summary.SummaryWidget attribute) SummaryWidget (class in data_describe.core.summary)

T

threshold (data_describe.core.scatter.ScatterWidget attribute) to_list() (in module data_describe.text.text_preprocessing) to_lower() (in module data_describe.text.text_preprocessing)

tokenize() (in module data_describe.text.text_preprocessing) top_documents_per_topic() (data_describe.text.topic_modeling.TopicModelWidget method) topic_model() (in module data_describe.text.topic_modeling) TopicModelWidget (class in data_describe.text.topic_modeling)

U

update_context() (in module data_describe.config._config)

V

varying() (in module data_describe.metrics.bivariate) visualize_topic_summary() (data_describe.text.topic_modeling.TopicModelWidget method)

viz_data (data_describe.core.clustering.ClusterWidget attribute) (data_describe.core.correlation.CorrelationWidget attribute)

W

with_traceback() (data_describe.compat._notebook.JupyterPlotlyWarning method)

write() (data_describe.misc.logging.OutputLogger method)

X

xlabel (data_describe.core.clustering.ClusterWidget attribute)

Y

ylabel (data_describe.core.clustering.ClusterWidget attribute)