27.Creating Bar Graph in Python |color,width,horizontal & mutiple bar graph | Python Visualization

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This is the 27th lecture in the new series for covering IP CBSE new pattern with python. This video will walk you through the data visualization concepts including the rules for reading and creating a graph or chart.
In this particular video we will learn about creating the bar graph in python using bar() function.. We will walk through changing label,color,shadow,title, of a bar graph.Also we will learn how to create multiple bar graph and horizontal bar graph as well.
Here we will discuss how to create a line chart along with multiple views and also will discuss the functions like show(),title(),xlabel(),ylabel(),legend(),plot(),subplot(),multiple subplots,grid() etc required for creating a line chart in python and in matplotlib.
Please watch the older videos in order to understand this better.

Playlist for the whole python series for CBSE IP
https://www.youtube.com/playlist?list=PLSfFWwQt_FhCizJ0RlOqnRjkG1O8QJoiv

1.Introduction to data analytics and pandas | Data Cycle | Feature of Pandas | Class XI/XII CBSE IP
https://youtu.be/OnYV6-0CHhA

2.Installing and Introduction to Pandas And Data Structures in Python | Class XI/XII CBSE IP 2021
https://youtu.be/e78Vdnx1hTg

3.Creating Series() using Pandas , Range(), Indexes, Lists in Python | Class XI/XII CBSE IP
https://youtu.be/FDvtuutDqDs

4.Creating Series() using Pandas , Range(), Looping indexes, Strings, iloc , loc, Numpy in Python
https://youtu.be/MIjc2j6nKuc

6. Performing Mathematical and Vector operations on series in Pandas Python | Multiple series Python
https://youtu.be/631js2IiXyU

7. Introduction to DataFrames in Pandas Python | Dataframe using List in Python |
https://youtu.be/hO0QDUpXBDA

8. Introduction to DataFrame using Multiple Series() | Sorting Values in Python
https://youtu.be/eWl1zWugwVg

10. Indexing , Renaming , Adding , Manipulating , Deleting columns in Python
https://youtu.be/akNTRfbQCHM

11. add(), radd(), sub(), rsub(), mul(), div() Binary Operations in Python
https://youtu.be/bpz0wOXN_Yo

12. Match Operation,fillna(),NaN ,ffill(),Adding NaN Values in column in python
https://youtu.be/FR4BIWFhESc

13. Merging,Boolean Reduction, concat(),axis, any(),empty(),all() in Dataframe
https://youtu.be/u-h2vYbpmLI

14. Reading/Writing in CSV File using Pandas nrows,names,usecol,skiprows,headers
https://youtu.be/Zbkd87NG3q0

15. Data Aggregation in Python using sum(),count(),min(),max(),axis Concepts in depth | XI/XII CBSE
https://youtu.be/KfIxrP7CTjI

16. Statistical methods of Data Aggregation in Python using Mean(),Mode(),Median(),Var(),Quantile()
https://youtu.be/A7o9oF05hb0

17. Pivoting Theory in Dataframes using pandas in Python | Pivot_table | fillna() | Data sorting
https://youtu.be/m2TYpmkonYI

18. Pivoting Practical in Dataframes using pandas & Python | fillna() | Data sorting for XI/XII CBSE
https://youtu.be/--64fAwXEYc

19.Sorting Data in python based on column & index values using sort_values(),reindex() in Pandas
https://youtu.be/wiogyuPCtLQ

20.Using Groupby(),transform(),reindex(),rename() for sorting in Python Pandas
https://youtu.be/PaEbjxrFiTE

21.Introduction to Data Visualization, matplotlib in python , Rules for sample chart
https://youtu.be/Cp3cK4MlTTw

22.Creating line chart matplotlib |Multiple views| show(),legend(),title(),labels etc
https://youtu.be/q_yGXGmQE1Q

23.Multiple subplot line chart matplotlib |grid() | show(),legend(),title(),labels| Python Pandas
https://youtu.be/SHq7tQ3Aoiw

24. Line plot using function | Plot algebric expression | Changing colors |Python Plot Visualization
https://youtu.be/UhwnThMVC-4

25.Creating PIE Chart in Python | color,explode,label,axis,shadow,size | Python Plot Visualization
https://youtu.be/WVcbxcv7_tk

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