Someone, please help to perform the visualization exercise below:

$1-1$ tree map, $1$ area chart and $1$ stacked area chart using Python

$2-1$ tree map, $1$ area chart and $1$ stacked area chart using R

Thank you

The dataset is belows, show the Top $10$ Value unemployment rate:Series$\_$id Year Period Value

LNS$140000001948$ M$013\mathrm{.}4$

LNS$140000001948$ M$023\mathrm{.}8$

LNS$140000001948$ M$034$

LNS$140000001948$ M$043\mathrm{.}9$

LNS$140000001948$ M$053\mathrm{.}5$

LNS$140000001948$ M$063\mathrm{.}6$

LNS$140000001948$ M$073\mathrm{.}6$

LNS$140000001948$ M$083\mathrm{.}9$

LNS$140000001948$ M$093\mathrm{.}8$

LNS$140000001948$ M$103\mathrm{.}7$

LNS$140000001948$ M$113\mathrm{.}8$

LNS$140000001948$ M$124$

LNS$140000001949$ M$014\mathrm{.}3$

LNS$140000001949$ M$024\mathrm{.}7$

LNS$140000001949$ M$035$

LNS$140000001949$ M$045\mathrm{.}3$

LNS$140000001949$ M$056\mathrm{.}1$

LNS$140000001949$ M$066\mathrm{.}2$

LNS$140000001949$ M$076\mathrm{.}7$

LNS$140000001949$ M$086\mathrm{.}8$

LNS$140000001949$ M$096\mathrm{.}6$

LNS$140000001949$ M$107\mathrm{.}9$

LNS$140000001949$ M$116\mathrm{.}4$

LNS$140000001949$ M$126\mathrm{.}6$

LNS$140000001950$ M$016\mathrm{.}5$

LNS$140000001950$ M$026\mathrm{.}4$

LNS$140000001950$ M$036\mathrm{.}3$

LNS$140000001950$ M$045\mathrm{.}8$

LNS$140000001950$ M$055\mathrm{.}5$

LNS$140000001950$ M$065\mathrm{.}4$

LNS$140000001950$ M$075$

LNS$140000001950$ M$084\mathrm{.}5$

LNS$140000001950$ M$094\mathrm{.}4$

LNS$140000001950$ M$104\mathrm{.}2$

LNS$140000001950$ M$114\mathrm{.}2$

LNS$140000001950$ M$124\mathrm{.}3$

LNS$140000001951$ M$013\mathrm{.}7$

LNS$140000001951$ M$023\mathrm{.}4$

LNS$140000001951$ M$033\mathrm{.}4$

LNS$140000001951$ M$043\mathrm{.}1$

LNS$140000001951$ M$053$

LNS$140000001951$ M$063\mathrm{.}2$

LNS$140000001951$ M$073\mathrm{.}1$

LNS$140000001951$ M$083\mathrm{.}1$

LNS$140000001951$ M$093\mathrm{.}3$

LNS$140000001951$ M$103\mathrm{.}5$

LNS$140000001951$ M$113\mathrm{.}5$

LNS$140000001951$ M$123\mathrm{.}1$

LNS$140000001952$ M$013\mathrm{.}2$

LNS$140000001952$ M$023\mathrm{.}1$

LNS$140000001952$ M$032\mathrm{.}9$

LNS$140000001952$ M$042\mathrm{.}9$

LNS$140000001952$ M$053$

LNS$140000001952$ M$063$

LNS$140000001952$ M$073\mathrm{.}2$

LNS$140000001952$ M$083\mathrm{.}4$

LNS$140000001952$ M$093\mathrm{.}1$

LNS$140000001952$ M$103$

LNS$140000001952$ M$112\mathrm{.}8$

LNS$140000001952$ M$122\mathrm{.}7$

LNS$140000001953$ M$012\mathrm{.}9$

LNS$140000001953$ M$022\mathrm{.}6$

LNS$140000001953$ M$032\mathrm{.}6$

LNS$140000001953$ M$042\mathrm{.}7$

LNS$140000001953$ M$052\mathrm{.}5$

LNS$140000001953$ M$062\mathrm{.}5$

LNS$140000001953$ M$072\mathrm{.}6$

LNS$140000001953$ M$082\mathrm{.}7$

LNS$140000001953$ M$092\mathrm{.}9$

LNS$140000001953$ M$103\mathrm{.}1$

LNS$140000001953$ M$113\mathrm{.}5$

LNS$140000001953$ M$124\mathrm{.}5$

LNS$140000001954$ M$014\mathrm{.}9$

LNS$140000001954$ M$025\mathrm{.}2$

LNS$140000001954$ M$035\mathrm{.}7$

LNS$140000001954$ M$045\mathrm{.}9$

LNS$140000001954$ M$055\mathrm{.}9$

LNS$140000001954$ M$065\mathrm{.}6$

LNS

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