Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
Berlin.png		Berlin.png
Binning_of_values.py		Binning_of_values.py
Box_plot_visualization.py		Box_plot_visualization.py
Cluster_map_visualization.py		Cluster_map_visualization.py
Drop_Entries.py		Drop_Entries.py
File Operations in Python.py		File Operations in Python.py
Heat_maps_visualization.py		Heat_maps_visualization.py
Helsinki.png		Helsinki.png
Hexagon.png		Hexagon.png
KDE.py		KDE.py
KDE2.py		KDE2.py
Mapping_in_dataframes.py		Mapping_in_dataframes.py
Nairobi.png		Nairobi.png
Observation_filtering_&_basic_analysis.py		Observation_filtering_&_basic_analysis.py
Plotting_multiple_charts_with_seaborn.py		Plotting_multiple_charts_with_seaborn.py
README.md		README.md
Regression_plot_with_seaborn.py		Regression_plot_with_seaborn.py
Rio.png		Rio.png
Rohan.png		Rohan.png
RohanBhai.png		RohanBhai.png
Statistics_and_graph_sketches_with_pandas.py		Statistics_and_graph_sketches_with_pandas.py
Violin_plot_visualization.py		Violin_plot_visualization.py
box1.png		box1.png
box2.png		box2.png
calculate.py		calculate.py
cluster1.png		cluster1.png
cluster2.png		cluster2.png
cluster3.png		cluster3.png
combining_dataframes.py		combining_dataframes.py
concantenation_scipy.py		concantenation_scipy.py
data.csv		data.csv
data2.csv		data2.csv
data3.csv		data3.csv
data4.xlsx		data4.xlsx
data_alignment.py		data_alignment.py
dataoutput.csv		dataoutput.csv
denver.png		denver.png
drift.png		drift.png
duplicate_analysis_in_datasets.py		duplicate_analysis_in_datasets.py
excel-pandas.py		excel-pandas.py
first graph in python.png		first graph in python.png
forloop.png		forloop.png
greenmango.png		greenmango.png
greenmango2.png		greenmango2.png
handling_null_data.py		handling_null_data.py
harabarakehbab.png		harabarakehbab.png
heatmap1.png		heatmap1.png
heatmap2.png		heatmap2.png
heatmap3.png		heatmap3.png
histogram_visualization_in_seaborn.py		histogram_visualization_in_seaborn.py
html_pandas.py		html_pandas.py
image4.png		image4.png
justinbieber.png		justinbieber.png
kde_plot_as_well_as_histogram.png		kde_plot_as_well_as_histogram.png
kdeplot.png		kdeplot.png
lisbon.png		lisbon.png
merging_columns.py		merging_columns.py
merging_with_indexes.py		merging_with_indexes.py
mix.png		mix.png
moscow.png		moscow.png
neversaynever.png		neversaynever.png
outputCSV.csv		outputCSV.csv
pivot_tables.py		pivot_tables.py
ranking_and_sorting_characteristics.py		ranking_and_sorting_characteristics.py
renaming_the_indexes_of_dataframes.py		renaming_the_indexes_of_dataframes.py
replacing_values_in_series.py		replacing_values_in_series.py
reshaping_of_datasets.py		reshaping_of_datasets.py
rugplot.png		rugplot.png
seaborn.png		seaborn.png
selecting_and_modifying_data_in_pandas.py		selecting_and_modifying_data_in_pandas.py
technani.png		technani.png
three.png		three.png
tokyo.png		tokyo.png
two.png		two.png
violin1.png		violin1.png
violin2.png		violin2.png
violin3.png		violin3.png

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Data-Visualization

I had done this course in order to learn the basics of Data Visualization, data analytics in Python using pycharm, you can also use jupyter notebook. You can find this course on Udemy

https://www.udemy.com/course/learn-data-analytics-complete-bootcamp-by-takenmind/

Use either one of the IDE's (use Juypter)

https://jupyter.org/

https://www.jetbrains.com/pycharm/

Using Jupyter Notebook online is easy and there is a less stress on your machine.

Happy Learning :)

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